subject:(Web usage mining)

Universidade do Porto

1. Neves, André Pacheco Pereira. Web usage mining for click fraud detection.

Degree: 2010, Universidade do Porto

URL: http://www.rcaap.pt/detail.jsp?id=oai:repositorio-aberto.up.pt:10216/71308

Estágio realizado na AuditMark e orientado pelo Eng.º Pedro Fortuna

Tese de mestrado integrado. Engenharia Informática e Computação. Faculdade de Engenharia. Universidade do Porto. 2010

Advisors/Committee Members: Borges, José Luís Cabral de Moura, Rossetti, Rosaldo José Fernandes, Universidade do Porto. Faculdade de Engenharia.

Subjects/Keywords: Web usage mining

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Neves, A. P. P. (2010). Web usage mining for click fraud detection. (Thesis). Universidade do Porto. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:repositorio-aberto.up.pt:10216/71308

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Neves, André Pacheco Pereira. “Web usage mining for click fraud detection.” 2010. Thesis, Universidade do Porto. Accessed January 26, 2021. http://www.rcaap.pt/detail.jsp?id=oai:repositorio-aberto.up.pt:10216/71308.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Neves, André Pacheco Pereira. “Web usage mining for click fraud detection.” 2010. Web. 26 Jan 2021.

Vancouver:

Neves APP. Web usage mining for click fraud detection. [Internet] [Thesis]. Universidade do Porto; 2010. [cited 2021 Jan 26]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio-aberto.up.pt:10216/71308.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Neves APP. Web usage mining for click fraud detection. [Thesis]. Universidade do Porto; 2010. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio-aberto.up.pt:10216/71308

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Technology, Sydney

2. Nguyen, TTS. Semantic-enhanced web-page recommender systems.

Degree: 2012, University of Technology, Sydney

URL: http://hdl.handle.net/10453/23387

► This thesis presents a new framework for a semantic-enhanced Web-page recommender (WPR) system, and a suite of enabling techniques which include semantic network models of… (more)

Subjects/Keywords: Semantic web.; Ontologies.; Web-page recommender systems.; Web usage mining.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Nguyen, T. (2012). Semantic-enhanced web-page recommender systems. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/23387

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Nguyen, TTS. “Semantic-enhanced web-page recommender systems.” 2012. Thesis, University of Technology, Sydney. Accessed January 26, 2021. http://hdl.handle.net/10453/23387.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Nguyen, TTS. “Semantic-enhanced web-page recommender systems.” 2012. Web. 26 Jan 2021.

Vancouver:

Nguyen T. Semantic-enhanced web-page recommender systems. [Internet] [Thesis]. University of Technology, Sydney; 2012. [cited 2021 Jan 26]. Available from: http://hdl.handle.net/10453/23387.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nguyen T. Semantic-enhanced web-page recommender systems. [Thesis]. University of Technology, Sydney; 2012. Available from: http://hdl.handle.net/10453/23387

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Georgia

3. Ahmed, Naveed. Webanalyzer.

Degree: 2014, University of Georgia

URL: http://hdl.handle.net/10724/26842

► The World Wide Web has become a major source of information dissemination for academia, business and government organizations. Hence, the usability and effectiveness of these… (more)

Subjects/Keywords: web site effectiveness; web usage mining; user profiling using web logs

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APA (6^th Edition):

Ahmed, N. (2014). Webanalyzer. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/26842

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Ahmed, Naveed. “Webanalyzer.” 2014. Thesis, University of Georgia. Accessed January 26, 2021. http://hdl.handle.net/10724/26842.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Ahmed, Naveed. “Webanalyzer.” 2014. Web. 26 Jan 2021.

Vancouver:

Ahmed N. Webanalyzer. [Internet] [Thesis]. University of Georgia; 2014. [cited 2021 Jan 26]. Available from: http://hdl.handle.net/10724/26842.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ahmed N. Webanalyzer. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/26842

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Universidade do Rio Grande do Sul

4. Vollino, Bruno Winiemko. Descoberta de perfis de uso de web services.

Degree: 2013, Universidade do Rio Grande do Sul

URL: http://hdl.handle.net/10183/83669

►

Durante o ciclo de vida de um web service, diversas mudanças são feitas na sua interface, eventualmente causando incompatibilidades em relação aos seus clientes e… (more)

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Durante o ciclo de vida de um web service, diversas mudanças são feitas na sua interface, eventualmente causando incompatibilidades em relação aos seus clientes e ocasionando a quebra de suas aplicações. Os provedores precisam tomar decisões sobre mudanças em seus serviços frequentemente, muitas vezes sem um bom entendimento a respeito do efeito destas mudanças sobre seus clientes. Os trabalhos e ferramentas existentes não fornecem ao provedor um conhecimento adequado a respeito do uso real das funcionalidades da interface de um serviço, considerando os diferentes tipos de consumidores, o que impossibilita avaliar o impacto das mudanças. Este trabalho apresenta um framework para a descoberta de perfis de uso de serviços web, os quais constituem um modelo descritivo dos padrões de uso dos diferentes grupos de clientes do serviço, com relação ao uso das funcionalidades em sua interface. O framework auxilia no processo de descoberta de conhecimento através de tarefas semiautomáticas e parametrizáveis para a preparação e análise de dados de uso, minimizando a necessidade de intervenção do usuário. O framework engloba o monitoramento de interações de web services, a carga de dados de uso pré-processados em uma base de dados unificada, e a geração de perfis de uso. Técnicas de mineração de dados são utilizadas para agrupar clientes de acordo com seus padrões de uso de funcionalidades, e esses grupos são utilizados na construção de perfis de uso de serviços. Todo o processo é configurado através de parâmetros, permitindo que o usuário determine o nível de detalhe das informações sobre o uso incluídas nos perfis e os critérios para avaliar a similaridade entre clientes. A proposta é validada por meio de experimentos com dados sintéticos, simulados de acordo com características esperadas no comportamento de clientes de um serviço real. Os resultados dos experimentos demonstram que o framework proposto permite a descoberta de perfis de uso de serviço úteis, e fornecem evidências a respeito da parametrização adequada do framework.

During the life cycle of a web service, several changes are made in its interface, which possibly are incompatible with regard to current usage and may break client applications. Providers must make decisions about changes on their services, most often without insight on the effect these changes will have over their customers. Existing research and tools fail to input provider with proper knowledge about the actual usage of the service interface’s features, considering the distinct types of customers, making it impossible to assess the actual impact of changes. This work presents a framework for the discovery of web service usage profiles, which constitute a descriptive model of the usage patterns found in distinct groups of clients, concerning the usage of service interface features. The framework supports a user in the process of knowledge discovery over service usage data through semi-automatic and configurable tasks, which assist the preparation and analysis of usage data with the minimum user…

Advisors/Committee Members: Becker, Karin.

Subjects/Keywords: Recuperacao : Informacao; Web service; Serviços Web; Data mining; Usage patterns; Usage profiles

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APA (6^th Edition):

Vollino, B. W. (2013). Descoberta de perfis de uso de web services. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/83669

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Vollino, Bruno Winiemko. “Descoberta de perfis de uso de web services.” 2013. Thesis, Universidade do Rio Grande do Sul. Accessed January 26, 2021. http://hdl.handle.net/10183/83669.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Vollino, Bruno Winiemko. “Descoberta de perfis de uso de web services.” 2013. Web. 26 Jan 2021.

Vancouver:

Vollino BW. Descoberta de perfis de uso de web services. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2013. [cited 2021 Jan 26]. Available from: http://hdl.handle.net/10183/83669.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vollino BW. Descoberta de perfis de uso de web services. [Thesis]. Universidade do Rio Grande do Sul; 2013. Available from: http://hdl.handle.net/10183/83669

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Hong Kong

5. 吳浩存. A multidimensional data model for monitoring web usage and optimizing website topology.

Degree: 2004, University of Hong Kong

URL: http://hdl.handle.net/10722/30489

Subjects/Keywords: Web databases.; Web usage mining.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

吳浩存.. (2004). A multidimensional data model for monitoring web usage and optimizing website topology. (Thesis). University of Hong Kong. Retrieved from http://hdl.handle.net/10722/30489

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

吳浩存.. “A multidimensional data model for monitoring web usage and optimizing website topology.” 2004. Thesis, University of Hong Kong. Accessed January 26, 2021. http://hdl.handle.net/10722/30489.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

吳浩存.. “A multidimensional data model for monitoring web usage and optimizing website topology.” 2004. Web. 26 Jan 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

吳浩存.. A multidimensional data model for monitoring web usage and optimizing website topology. [Internet] [Thesis]. University of Hong Kong; 2004. [cited 2021 Jan 26]. Available from: http://hdl.handle.net/10722/30489.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

吳浩存.. A multidimensional data model for monitoring web usage and optimizing website topology. [Thesis]. University of Hong Kong; 2004. Available from: http://hdl.handle.net/10722/30489

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Anna University

6. Vijayalakshmi S. Web usage mining frame work for high efficiency and automatic navigation method based on frequent sequential pattern from multidimensional web logs;.

Degree: 2013, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/11518

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This thesis proposes a frame work for Web Usage Mining using sequential pattern mining techniques in web server log files. A complete methodology for preprocessing… (more)

Subjects/Keywords: Web logs; web usage mining; high efficiency; automatic navigation; sequential pattern

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APA (6^th Edition):

S, V. (2013). Web usage mining frame work for high efficiency and automatic navigation method based on frequent sequential pattern from multidimensional web logs;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/11518

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

S, Vijayalakshmi. “Web usage mining frame work for high efficiency and automatic navigation method based on frequent sequential pattern from multidimensional web logs;.” 2013. Thesis, Anna University. Accessed January 26, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/11518.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

S, Vijayalakshmi. “Web usage mining frame work for high efficiency and automatic navigation method based on frequent sequential pattern from multidimensional web logs;.” 2013. Web. 26 Jan 2021.

Vancouver:

S V. Web usage mining frame work for high efficiency and automatic navigation method based on frequent sequential pattern from multidimensional web logs;. [Internet] [Thesis]. Anna University; 2013. [cited 2021 Jan 26]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/11518.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

S V. Web usage mining frame work for high efficiency and automatic navigation method based on frequent sequential pattern from multidimensional web logs;. [Thesis]. Anna University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/11518

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

7. Gomes, João Fernando dos Anjos. Recomendação de navegação em portais da internet como um serviço suportado em ferramentas Web Analytics.

Degree: 2016, Instituto Politécnico de Setúbal. Escola Superior de Ciências Empresariais

URL: https://www.rcaap.pt/detail.jsp?id=oai:comum.rcaap.pt:10400.26/17292

►

Dissertação apresentada para cumprimento dos requisitos necessários à obtenção do grau de Mestre de Sistemas de Informação Organizacionais

Com o constante crescimento da utilização da… (more)

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Dissertação apresentada para cumprimento dos requisitos necessários à obtenção do grau de Mestre de Sistemas de Informação Organizacionais

Com o constante crescimento da utilização da Internet o número de websites e respetivas páginas contínua a evoluir também, por este motivo, verifica-se uma necessidade de alinhar a experiência de utilização com os objetivos gerais de um website. Para satisfazer esta necessidade o sistema de recomendação proposto sugere páginas ao utilizador que possam ser do seu interesse com base em perfis de navegação de um website em geral. A maioria dos sistemas de recomendação são baseados em regras de associação ou palavras chave (quando o conteúdo é considerado). No entanto, quando os dados não são suficientes ou são muito dispersos e a ordem é considerada, uma abordagem tradicional pode ser inadequada. Por outro lado, assumindo outro paradigma, a área de Web Analytics, tem obtido um crescimento considerável, através de ferramentas robustas que permitem a recolha e análise de dados da internet, a fim de compreender e otimizar eficiência e eficácia do website. O presente artigo propõe o desenvolvimento de um sistema de recomendação baseado na ferramenta Google Analytics. O protótipo é composto por dois componentes principais que são: 1) um serviço responsável pela construção e lógica associada à criação das recomendações; 2) uma biblioteca incorporável em qualquer website que providenciará um widget de recomendação configurável. Avaliações preliminares constataram que a implementação segue a lógica do modelo proposto.

As the Internet usage keeps increasing, the number of web sites and hence the number of web pages also keeps increasing, so there is a need to align the user experience with the overall websites purposes. Toward this requirement, the proposed recommendation systems suggest the user pages that might be of its interest based on past navigation profiles of overall site usage. Most of existing recommendation systems are based on association rules or based on keywords (when content is considered). However, on usage data shortage or sparse data and if sequential order is to be considered such traditional approaches may become unsuitable. Conversely, the Web Analytics arena, assuming other paradigm, has experienced a considerable growth through mature tools that allow the collection and analysis of internet data in order to understand and optimize website efficiency and efficacy. This work proposes the development of a recommendation system based on the Google Analytics tool. The prototype is constituted by two main components which are: 1) a service responsible for the construction and associated logic that underlies recommendations generation; 2) an embeddable library on any website that will furnish website with a configurable recommendation widget. Preliminary evaluations had showed that the implementation follows the logic of the proposed model.

Advisors/Committee Members: Sapateiro, Cláudio, Mourão, Hernâni.

Subjects/Keywords: Data Mining; Digital marketing; Google Analytics; Recommendation systems; User Experience; Web Analytics; Web Usage Mining

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APA (6^th Edition):

Gomes, J. F. d. A. (2016). Recomendação de navegação em portais da internet como um serviço suportado em ferramentas Web Analytics. (Thesis). Instituto Politécnico de Setúbal. Escola Superior de Ciências Empresariais. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:comum.rcaap.pt:10400.26/17292

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Gomes, João Fernando dos Anjos. “Recomendação de navegação em portais da internet como um serviço suportado em ferramentas Web Analytics.” 2016. Thesis, Instituto Politécnico de Setúbal. Escola Superior de Ciências Empresariais. Accessed January 26, 2021. https://www.rcaap.pt/detail.jsp?id=oai:comum.rcaap.pt:10400.26/17292.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Gomes, João Fernando dos Anjos. “Recomendação de navegação em portais da internet como um serviço suportado em ferramentas Web Analytics.” 2016. Web. 26 Jan 2021.

Vancouver:

Gomes JFdA. Recomendação de navegação em portais da internet como um serviço suportado em ferramentas Web Analytics. [Internet] [Thesis]. Instituto Politécnico de Setúbal. Escola Superior de Ciências Empresariais; 2016. [cited 2021 Jan 26]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:comum.rcaap.pt:10400.26/17292.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gomes JFdA. Recomendação de navegação em portais da internet como um serviço suportado em ferramentas Web Analytics. [Thesis]. Instituto Politécnico de Setúbal. Escola Superior de Ciências Empresariais; 2016. Available from: https://www.rcaap.pt/detail.jsp?id=oai:comum.rcaap.pt:10400.26/17292

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Universidade do Rio Grande do Sul

8. Rigo, Sandro Jose. Integração de recursos da web semântica e mineração de uso para personalização de sites.

Degree: 2008, Universidade do Rio Grande do Sul

URL: http://hdl.handle.net/10183/15324

►

Um dos motivos para o crescente desenvolvimento da área de mineração de dados encontra-se no aumento da quantidade de documentos gerados e armazenados em formato… (more)

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Um dos motivos para o crescente desenvolvimento da área de mineração de dados encontra-se no aumento da quantidade de documentos gerados e armazenados em formato digital, estruturados ou não. A Web contribui sobremaneira para este contexto e, de forma coerente com esta situação, observa-se o surgimento de técnicas específicas para utilização nesta área, como a mineração de estrutura, de conteúdo e de uso. Pode-se afirmar que esta crescente oferta de informação na Web cria o problema da sobrecarga cognitiva. A Hipermídia Adaptativa permite minorar este problema, com a adaptação de hiperdocumentos e hipermídia aos seus usuários segundo suas necessidades, preferências e objetivos. De forma resumida, esta adaptação é realizada relacionando-se informações sobre o domínio da aplicação com informações sobre o perfil de usuários. Um dos tópicos importantes de pesquisa em sistemas de Hipermídia Adaptativa encontra-se na geração e manutenção do perfil dos usuários. Dentre as abordagens conhecidas, existe um contínuo de opções, variando desde cadastros de informações preenchidos manualmente, entrevistas, até a aquisição automática de informações com acompanhamento do uso da Web. Outro ponto fundamental de pesquisa nesta área está ligado à construção das aplicações, sendo que recursos da Web Semântica, como ontologias de domínio ou anotações semânticas de conteúdo podem ser observados no desenvolvimento de sistemas de Hipermídia Adaptativa. Os principais motivos para tal podem ser associados com a inerente flexibilidade, capacidade de compartilhamento e possibilidades de extensão destes recursos. Este trabalho descreve uma arquitetura para a aquisição automática de perfis de classes de usuários, a partir da mineração do uso da Web e da aplicação de ontologias de domínio. O objetivo principal é a integração de informações semânticas, obtidas em uma ontologia de domínio descrevendo o site Web em questão, com as informações de acompanhamento do uso obtidas pela manipulação dos dados de sessões de usuários. Desta forma é possível identificar mais precisamente os interesses e necessidades de um usuário típico. Integra o trabalho a implementação de aplicação de Hipermídia Adaptativa a partir de conceitos de modelagem semântica de aplicações, com a utilização de recursos de serviços Web, para validação experimental da proposta.

One of the reasons for the increasing development observed in Data Mining area is the raising in the quantity of documents generated and stored in digital format, structured or not. The Web plays central role in this context and some specific techniques can be observed, as structure, content and usage mining. This increasing information offer in the Web brings the cognitive overload problem. The Adaptive Hypermedia permits a reduction of this problem, when the contents of selected documents are presented in accordance with the user needs, preferences and objectives. Briefly put, this adaptation is carried out on the basis of relationship between information concerning the application domain and information…

Advisors/Committee Members: Oliveira, Jose Palazzo Moreira de.

Subjects/Keywords: Adaptive hypermedia; Multimídia; Web semântica; Semantic web; Web usage mining; Recuperacao; Informação

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Rigo, S. J. (2008). Integração de recursos da web semântica e mineração de uso para personalização de sites. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/15324

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Rigo, Sandro Jose. “Integração de recursos da web semântica e mineração de uso para personalização de sites.” 2008. Thesis, Universidade do Rio Grande do Sul. Accessed January 26, 2021. http://hdl.handle.net/10183/15324.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Rigo, Sandro Jose. “Integração de recursos da web semântica e mineração de uso para personalização de sites.” 2008. Web. 26 Jan 2021.

Vancouver:

Rigo SJ. Integração de recursos da web semântica e mineração de uso para personalização de sites. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2008. [cited 2021 Jan 26]. Available from: http://hdl.handle.net/10183/15324.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rigo SJ. Integração de recursos da web semântica e mineração de uso para personalização de sites. [Thesis]. Universidade do Rio Grande do Sul; 2008. Available from: http://hdl.handle.net/10183/15324

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Bradford

9. Nagi, Mohamad. Integrating network analysis and data mining techniques into effective framework for Web mining and recommendation : a framework for Web mining and recommendation.

Degree: PhD, 2015, University of Bradford

URL: http://hdl.handle.net/10454/14200

► The main motivation for the study described in this dissertation is to benefit from the development in technology and the huge amount of available data… (more)

▼ The main motivation for the study described in this dissertation is to benefit from the development in technology and the huge amount of available data which can be easily captured, stored and maintained electronically. We concentrate on Web usage (i.e., log) mining and Web structure mining. Analysing Web log data will reveal valuable feedback reflecting how effective the current structure of a web site is and to help the owner of a web site in understanding the behaviour of the web site visitors. We developed a framework that integrates statistical analysis, frequent pattern mining, clustering, classification and network construction and analysis. We concentrated on the statistical data related to the visitors and how they surf and pass through the various pages of a given web site to land at some target pages. Further, the frequent pattern mining technique was used to study the relationship between the various pages constituting a given web site. Clustering is used to study the similarity of users and pages. Classification suggests a target class for a given new entity by comparing the characteristics of the new entity to those of the known classes. Network construction and analysis is also employed to identify and investigate the links between the various pages constituting a Web site by constructing a network based on the frequency of access to the Web pages such that pages get linked in the network if they are identified in the result of the frequent pattern mining process as frequently accessed together. The knowledge discovered by analysing a web site and its related data should be considered valuable for online shoppers and commercial web site owners. Benefitting from the outcome of the study, a recommendation system was developed to suggest pages to visitors based on their profiles as compared to similar profiles of other visitors. The conducted experiments using popular datasets demonstrate the applicability and effectiveness of the proposed framework for Web mining and recommendation. As a by product of the proposed method, we demonstrate how it is effective in another domain for feature reduction by concentrating on gene expression data analysis as an application with some interesting results reported in Chapter 5.

Subjects/Keywords: 006.3; Behaviour analysis; Network analysis; Data mining; Web usage mining; Web structure mining; Association rules mining; Clustering; Classification

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Nagi, M. (2015). Integrating network analysis and data mining techniques into effective framework for Web mining and recommendation : a framework for Web mining and recommendation. (Doctoral Dissertation). University of Bradford. Retrieved from http://hdl.handle.net/10454/14200

Chicago Manual of Style (16^th Edition):

Nagi, Mohamad. “Integrating network analysis and data mining techniques into effective framework for Web mining and recommendation : a framework for Web mining and recommendation.” 2015. Doctoral Dissertation, University of Bradford. Accessed January 26, 2021. http://hdl.handle.net/10454/14200.

MLA Handbook (7^th Edition):

Nagi, Mohamad. “Integrating network analysis and data mining techniques into effective framework for Web mining and recommendation : a framework for Web mining and recommendation.” 2015. Web. 26 Jan 2021.

Vancouver:

Nagi M. Integrating network analysis and data mining techniques into effective framework for Web mining and recommendation : a framework for Web mining and recommendation. [Internet] [Doctoral dissertation]. University of Bradford; 2015. [cited 2021 Jan 26]. Available from: http://hdl.handle.net/10454/14200.

Council of Science Editors:

Nagi M. Integrating network analysis and data mining techniques into effective framework for Web mining and recommendation : a framework for Web mining and recommendation. [Doctoral Dissertation]. University of Bradford; 2015. Available from: http://hdl.handle.net/10454/14200

University of Hong Kong

10. Fan, Xiaoxi. Web user profiling and tracking based on behavior analysis.

Degree: 2015, University of Hong Kong

URL: http://hdl.handle.net/10722/224635

► In the 1990s, the introduction of World Wide Web led a rapid growth in the number of web users, which resulted in new challenges. The… (more)

▼ In the 1990s, the introduction of World Wide Web led a rapid growth in the number of web users, which resulted in new challenges. The Internet turned computer crimes into transnational crimes. In the 21st century, new trends in computer crimes and cybercrimes were continuously discovered. The methods of committing crimes became sophisticated, such as Internet piracy in which the offender used anonymous cyberlocker services to distribute copyrighted resources. With these increasing challenges, countries have given response to cybercrimes with higher priority. A reliable framework which is able to profile and track the user identity is helpful for law enforcement agencies in investigating cybercrimes. In this dissertation, we studies two issues in relation to web user profiling and tracking. First, the data left on a computer is crucial to detect the user identity. Since user’s online behavior characteristics and interest patterns can be extracted from web browser history, we proposed a web user identification model that is based on profiling technique. The model constructed the user profile based on his/her web browsing activities. Two aspects of browsing behavior were examined to construct the profile, namely the user’s page view number (PVN) and page view time (PVT) for each browsed domain. Combined with Term Frequency (TF) and Term Frequency – Inverse Document Frequency (TFIDF) weighing scheme, four weighing models were proposed and compared to find profiles which were similar to the target profile. There is a high probability that these resulting profiles belong to the same person as the target profile in real world. Experiments were conducted on 51 computers in real world, and our results revealed that the model can be used to uniquely identify web users effectively. The performance of TFIDF is generally better than TF, and TFIDF-PVN weighing model achieves the best result for recognizing accurate web users. Second, besides the data left on a computer, much digital evidence can be found on the Internet. In recent years, cyberlocker services become popular that facilitates people to distribute infringing copies of copyrighted media on the Internet. Therefore, we studied the issue of cyberlocker-based piracy. Due to the anonymity property of cyberlocker, we proposed a model to collect data related to cyberlocker from public forums, on which the sharing behavior of cyberlocker links can be connected to a specific user. Then we built the forum user profiles based on their sharing activities of cyberlocker links. The relationships between different profiles were analyzed by multidimensional scaling analysis and agglomerative hierarchical clustering analysis. We are able to detect forum users with similar sharing behaviors. Furthermore, we introduced five categories of behavioral characteristics to construct more comprehensive profiles. Experiments were conducted on real data collected from popular forums in Hong Kong and the results indicated the model can effectively detect profiles with similar file sharing…

Subjects/Keywords: Internet users; Web usage mining

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Fan, X. (2015). Web user profiling and tracking based on behavior analysis. (Thesis). University of Hong Kong. Retrieved from http://hdl.handle.net/10722/224635

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Fan, Xiaoxi. “Web user profiling and tracking based on behavior analysis.” 2015. Thesis, University of Hong Kong. Accessed January 26, 2021. http://hdl.handle.net/10722/224635.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Fan, Xiaoxi. “Web user profiling and tracking based on behavior analysis.” 2015. Web. 26 Jan 2021.

Vancouver:

Fan X. Web user profiling and tracking based on behavior analysis. [Internet] [Thesis]. University of Hong Kong; 2015. [cited 2021 Jan 26]. Available from: http://hdl.handle.net/10722/224635.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Fan X. Web user profiling and tracking based on behavior analysis. [Thesis]. University of Hong Kong; 2015. Available from: http://hdl.handle.net/10722/224635

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Ryerson University

11. Kaleel, Shakira Banu. Cluster-discovery of twitter messages for event detection and trending.

Degree: 2015, Ryerson University

URL: https://digital.library.ryerson.ca/islandora/object/RULA%3A3652

► Social media data carries abundant hidden occurrences of real-time events in the world which raises the demand for efficient event detection and trending system. The… (more)

Subjects/Keywords: Twitter.; Hashing (Computer science); Cluster analysis.; Web usage mining.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Kaleel, S. B. (2015). Cluster-discovery of twitter messages for event detection and trending. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A3652

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Kaleel, Shakira Banu. “Cluster-discovery of twitter messages for event detection and trending.” 2015. Thesis, Ryerson University. Accessed January 26, 2021. https://digital.library.ryerson.ca/islandora/object/RULA%3A3652.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Kaleel, Shakira Banu. “Cluster-discovery of twitter messages for event detection and trending.” 2015. Web. 26 Jan 2021.

Vancouver:

Kaleel SB. Cluster-discovery of twitter messages for event detection and trending. [Internet] [Thesis]. Ryerson University; 2015. [cited 2021 Jan 26]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A3652.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kaleel SB. Cluster-discovery of twitter messages for event detection and trending. [Thesis]. Ryerson University; 2015. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A3652

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

12. Shi, Conglei. Visual analysis of user behavior from web log data.

Degree: 2014, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-70934 ; https://doi.org/10.14711/thesis-b1333671 ; http://repository.ust.hk/ir/bitstream/1783.1-70934/1/th_redirect.html

► With the decreasing cost and the increasing storage capacity, more web log data can be recorded nowadays. Compared with the data collected from experiments, the… (more)

▼ With the decreasing cost and the increasing storage capacity, more web log data can be recorded nowadays. Compared with the data collected from experiments, the log data can more accurately reflect the user behavior with little bias. These data provide an opportunity to understand user behavior and help improve user experience. For example, by analyzing how users use search engines and why they are not satisfied with the search result, we can improve the usability of search engines, such as search personalization and search accuracy. However, analyzing log data is challenging. For instance, exploring the raw data is an essential step to formulate hypotheses and build models, but the log data size is large and increases over time. With the benefit that the human perceptual system can process visual information rapidly, using visualization enables to express a large amount of information in a very efficient and intuitive way. Thus, in this case, visual analytics method, in which visualizations are the major components, can greatly help explore and analyze the log data. In this thesis, we focus on two types of log data. The first one is the search log data, which record how users use different search engines to perform queries and is collected from a world wide distributed web browser. The second one is the learning log data from a Massive Open Online Courses (MOOCs) platform. In order to better understand the actual needs when analyzing the log data, we conducted several rounds of interviews with domain experts who are the end users of visual analytics systems. After that, we followed the user centered design and iteratively designed three analytics systems. In the first system, RankExplorer, we present a new visualization technique to intuitively show the ranking changes of queries in search log data. In the second system, LoyalTracker, we target on better understanding user loyalty and defection behavior in search log data. In the third system, VisMOOC, we focus on analyzing learning behavior through learning log data. All the three systems give domain experts new insights into user behavior. In order to validate the effectiveness and usefulness of proposed systems, we conducted case studies with domain experts and one user study for RankExplorer.

Subjects/Keywords: Web usage mining ; Analysis ; Internet users ; Human-computer interaction ; Data processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Shi, C. (2014). Visual analysis of user behavior from web log data. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-70934 ; https://doi.org/10.14711/thesis-b1333671 ; http://repository.ust.hk/ir/bitstream/1783.1-70934/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Shi, Conglei. “Visual analysis of user behavior from web log data.” 2014. Thesis, Hong Kong University of Science and Technology. Accessed January 26, 2021. http://repository.ust.hk/ir/Record/1783.1-70934 ; https://doi.org/10.14711/thesis-b1333671 ; http://repository.ust.hk/ir/bitstream/1783.1-70934/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Shi, Conglei. “Visual analysis of user behavior from web log data.” 2014. Web. 26 Jan 2021.

Vancouver:

Shi C. Visual analysis of user behavior from web log data. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2014. [cited 2021 Jan 26]. Available from: http://repository.ust.hk/ir/Record/1783.1-70934 ; https://doi.org/10.14711/thesis-b1333671 ; http://repository.ust.hk/ir/bitstream/1783.1-70934/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shi C. Visual analysis of user behavior from web log data. [Thesis]. Hong Kong University of Science and Technology; 2014. Available from: http://repository.ust.hk/ir/Record/1783.1-70934 ; https://doi.org/10.14711/thesis-b1333671 ; http://repository.ust.hk/ir/bitstream/1783.1-70934/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

13. Chen, Weizhu. An associative characterization of click models in Web search.

Degree: 2012, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-7725 ; https://doi.org/10.14711/thesis-b1198288 ; http://repository.ust.hk/ir/bitstream/1783.1-7725/1/th_redirect.html

► Web search has become a fundamental means for massive users to find information. As a result, huge amounts of user interaction data are generated and… (more)

▼ Web search has become a fundamental means for massive users to find information. As a result, huge amounts of user interaction data are generated and act as a valuable source for many web tasks. An important task is to understand the user preference of each query-document pair based on their click behavior, so as to allow search engines to deliver better search results to effectively serve their users. In this thesis, we study the problem of modeling user click behavior in Web search, which is often formalized as a click model problem. Click models can automatically infer user-perceived relevance for each search result. This in turn enforces the search engines to deliver better search results. In the context of a click, there are multiple objects: user, query, session, task, search result, page region and so on. Previous models generally treat each object in isolation, disregarding their associations by only considering individual queries and search results. This may bring an over-simplification to a model but sacrifice valuable associative information. The main contribution of this thesis is a family of models and algorithms to address these limitations via modeling the associations between these objects. The proposed model and algorithm family characterizes the associations from six facets. We first put forward a whole-page model to describe the interplay between organic search and sponsored search. We then propose a session-based model and an intent-bias model to collectively study multiple queries with their corresponding clicks. We then introduce a user-based model to enrich the query and document with the user and characterize this triple relationship. We continue with a novel noise-aware model to capture the noise of a click by leveraging the above objects as its context. Finally, we provide a new solution by combining multiple proposed click models together to solve the relevance prediction challenge. We further verify all the proposed models through extensive experiments using large-scale data collected from a commercial search engine. Experimental results demonstrate the significant improvements over the state-of-the-art.

Subjects/Keywords: Web usage mining ; Internet users – Statistics – Data processing ; Internet searching

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Chen, W. (2012). An associative characterization of click models in Web search. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-7725 ; https://doi.org/10.14711/thesis-b1198288 ; http://repository.ust.hk/ir/bitstream/1783.1-7725/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Chen, Weizhu. “An associative characterization of click models in Web search.” 2012. Thesis, Hong Kong University of Science and Technology. Accessed January 26, 2021. http://repository.ust.hk/ir/Record/1783.1-7725 ; https://doi.org/10.14711/thesis-b1198288 ; http://repository.ust.hk/ir/bitstream/1783.1-7725/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Chen, Weizhu. “An associative characterization of click models in Web search.” 2012. Web. 26 Jan 2021.

Vancouver:

Chen W. An associative characterization of click models in Web search. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2012. [cited 2021 Jan 26]. Available from: http://repository.ust.hk/ir/Record/1783.1-7725 ; https://doi.org/10.14711/thesis-b1198288 ; http://repository.ust.hk/ir/bitstream/1783.1-7725/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen W. An associative characterization of click models in Web search. [Thesis]. Hong Kong University of Science and Technology; 2012. Available from: http://repository.ust.hk/ir/Record/1783.1-7725 ; https://doi.org/10.14711/thesis-b1198288 ; http://repository.ust.hk/ir/bitstream/1783.1-7725/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Ryerson University

14. Wen, Hao. Development of personalized online systems for web search, recommendations, and e-commerce.

Degree: 2011, Ryerson University

URL: https://digital.library.ryerson.ca/islandora/object/RULA%3A980

► Personalized online systems for Web search, news recommendation, and e-commerce are developed. The process of personalization of online systems consists of three main steps: determining… (more)

▼ Personalized online systems for Web search, news recommendation, and e-commerce are developed. The process of personalization of online systems consists of three main steps: determining a user's needs, classifying products or services, and matching the user's needs with suitable products or services. A multi-feature based method to automatically classify Web pages into categories of topics hierarchically representing the Web pages is proposed. An approach to modeling and quantifying a user's interests and preferences using the user's Web navigational data is presented. The approach is based on the premise that frequently visiting certain types of content or Web sites indicates that the user is interested in related content or retrieving information from those sites. A personalized search system utilizing a Web user's interest, preference and search context models is developed. A Web user's interest and preference models are constructed and updated by analyzing the user's navigational data and automatically classifying Web pages. A user's search context model is used to determine how the user's interest and preference models impact on his or her search behavior. An algorithm to re-rank search results generated by a conventional search engine is designed to provide a personalized Web search service. A hybrid recommender system of personalized recommendation of news on the Web is developed. Based on the similarities between Web pages and users' models of interest and preference, the Web pages are recommended to the users who are likely interested in the related topics. Moreover, the technique of collaborative filtering is employed, which aims to choose the trusted users and incorporate machine intelligence combined with human efforts. Once trusted users are determined, their behavior on the Web is considered as the manual recommendation part of the system. A method of classifying Web customers for planning customized e-marketing is proposed. The proposed e-marketing approach can be divided into four steps: determining a customer's general interest model, ascertaining a customer's local browsing model, classifying Web customers, and designing a personalized marketing and promotion plan for e-commerce based on the customer classification. Various experiments are carried out to demonstrate the effectiveness of the proposed approaches and systems. Advisors/Committee Members: Fang, Liping (Thesis advisor), Guan, Ling (Thesis advisor).

Subjects/Keywords: Electronic commerce – Mathematical models; Electronic commerce – Design; Web usage mining; Data mining; Marketing – Data processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Wen, H. (2011). Development of personalized online systems for web search, recommendations, and e-commerce. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A980

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Wen, Hao. “Development of personalized online systems for web search, recommendations, and e-commerce.” 2011. Thesis, Ryerson University. Accessed January 26, 2021. https://digital.library.ryerson.ca/islandora/object/RULA%3A980.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Wen, Hao. “Development of personalized online systems for web search, recommendations, and e-commerce.” 2011. Web. 26 Jan 2021.

Vancouver:

Wen H. Development of personalized online systems for web search, recommendations, and e-commerce. [Internet] [Thesis]. Ryerson University; 2011. [cited 2021 Jan 26]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A980.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wen H. Development of personalized online systems for web search, recommendations, and e-commerce. [Thesis]. Ryerson University; 2011. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A980

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Georgia

15. Storm, Kelly. Improved web usage mining techniques through data mining, user modeling, clustering, and behavioral heuristic methodologies.

Degree: 2014, University of Georgia

URL: http://hdl.handle.net/10724/27609

► As the web has grown and evolved, researchers have developed techniques to extract useful information or knowledge from web resources such as web server access… (more)

Subjects/Keywords: Web Usage Mining; User Modeling; Web Server Access Log Analysis; Session Analysis; Behavioral Heuristics; Clustering; Visualizations of Usage Behavior

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Storm, K. (2014). Improved web usage mining techniques through data mining, user modeling, clustering, and behavioral heuristic methodologies. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/27609

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Storm, Kelly. “Improved web usage mining techniques through data mining, user modeling, clustering, and behavioral heuristic methodologies.” 2014. Thesis, University of Georgia. Accessed January 26, 2021. http://hdl.handle.net/10724/27609.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Storm, Kelly. “Improved web usage mining techniques through data mining, user modeling, clustering, and behavioral heuristic methodologies.” 2014. Web. 26 Jan 2021.

Vancouver:

Storm K. Improved web usage mining techniques through data mining, user modeling, clustering, and behavioral heuristic methodologies. [Internet] [Thesis]. University of Georgia; 2014. [cited 2021 Jan 26]. Available from: http://hdl.handle.net/10724/27609.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Storm K. Improved web usage mining techniques through data mining, user modeling, clustering, and behavioral heuristic methodologies. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/27609

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

16. Lou, Wenwu. Characterizing Web linking and usage with hierarchical models.

Degree: 2005, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-2491 ; https://doi.org/10.14711/thesis-b863996 ; http://repository.ust.hk/ir/bitstream/1783.1-2491/1/th_redirect.html

► After a decade of rapid growth the World Wide Web, or the Web for short, has become a center marketplace for information exchange for the… (more)

Subjects/Keywords: World Wide Web ; Web usage mining

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Lou, W. (2005). Characterizing Web linking and usage with hierarchical models. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-2491 ; https://doi.org/10.14711/thesis-b863996 ; http://repository.ust.hk/ir/bitstream/1783.1-2491/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Lou, Wenwu. “Characterizing Web linking and usage with hierarchical models.” 2005. Thesis, Hong Kong University of Science and Technology. Accessed January 26, 2021. http://repository.ust.hk/ir/Record/1783.1-2491 ; https://doi.org/10.14711/thesis-b863996 ; http://repository.ust.hk/ir/bitstream/1783.1-2491/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Lou, Wenwu. “Characterizing Web linking and usage with hierarchical models.” 2005. Web. 26 Jan 2021.

Vancouver:

Lou W. Characterizing Web linking and usage with hierarchical models. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2005. [cited 2021 Jan 26]. Available from: http://repository.ust.hk/ir/Record/1783.1-2491 ; https://doi.org/10.14711/thesis-b863996 ; http://repository.ust.hk/ir/bitstream/1783.1-2491/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lou W. Characterizing Web linking and usage with hierarchical models. [Thesis]. Hong Kong University of Science and Technology; 2005. Available from: http://repository.ust.hk/ir/Record/1783.1-2491 ; https://doi.org/10.14711/thesis-b863996 ; http://repository.ust.hk/ir/bitstream/1783.1-2491/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Brno University of Technology

17. Vlk, Vladimír. Získávání znalostí z webových logů: Knowledge Discovery from Web Logs.

Degree: 2020, Brno University of Technology

URL: http://hdl.handle.net/11012/189885

► This master's thesis deals with creating of an application, goal of which is to perform data preprocessing of web logs and finding association rules in… (more)

Subjects/Keywords: Dolování dat; Web log; předzpracování; dolování dat z užití; dolováni dat z Webu; asociační pravidla; Apriori; Data mining; Web log; preprocessing; web usage mining; web mining; association rules; Apriori

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Vlk, V. (2020). Získávání znalostí z webových logů: Knowledge Discovery from Web Logs. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/189885

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Vlk, Vladimír. “Získávání znalostí z webových logů: Knowledge Discovery from Web Logs.” 2020. Thesis, Brno University of Technology. Accessed January 26, 2021. http://hdl.handle.net/11012/189885.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Vlk, Vladimír. “Získávání znalostí z webových logů: Knowledge Discovery from Web Logs.” 2020. Web. 26 Jan 2021.

Vancouver:

Vlk V. Získávání znalostí z webových logů: Knowledge Discovery from Web Logs. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Jan 26]. Available from: http://hdl.handle.net/11012/189885.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vlk V. Získávání znalostí z webových logů: Knowledge Discovery from Web Logs. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/189885

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Brno University of Technology

18. Vlk, Vladimír. Získávání znalostí z webových logů: Knowledge Discovery from Web Logs.

Degree: 2020, Brno University of Technology

URL: http://hdl.handle.net/11012/188766

► This master's thesis deals with creating of an application, goal of which is to perform data preprocessing of web logs and finding association rules in… (more)

Subjects/Keywords: Dolování dat; Web log; předzpracování; dolování dat z užití; dolováni dat z Webu; asociační pravidla; Apriori; Data mining; Web log; preprocessing; web usage mining; web mining; association rules; Apriori

Record Details Similar Records Cite « Share

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Vlk, V. (2020). Získávání znalostí z webových logů: Knowledge Discovery from Web Logs. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/188766

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Vlk, Vladimír. “Získávání znalostí z webových logů: Knowledge Discovery from Web Logs.” 2020. Thesis, Brno University of Technology. Accessed January 26, 2021. http://hdl.handle.net/11012/188766.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Vlk, Vladimír. “Získávání znalostí z webových logů: Knowledge Discovery from Web Logs.” 2020. Web. 26 Jan 2021.

Vancouver:

Vlk V. Získávání znalostí z webových logů: Knowledge Discovery from Web Logs. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Jan 26]. Available from: http://hdl.handle.net/11012/188766.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vlk V. Získávání znalostí z webových logů: Knowledge Discovery from Web Logs. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/188766

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Brno University of Technology

19. Vlk, Vladimír. Získávání znalostí z webových logů: Knowledge Discovery from Web Logs.

Degree: 2020, Brno University of Technology

URL: http://hdl.handle.net/11012/53439

► This master's thesis deals with creating of an application, goal of which is to perform data preprocessing of web logs and finding association rules in… (more)

Subjects/Keywords: Dolování dat; Web log; předzpracování; dolování dat z užití; dolováni dat z Webu; asociační pravidla; Apriori; Data mining; Web log; preprocessing; web usage mining; web mining; association rules; Apriori

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Vlk, V. (2020). Získávání znalostí z webových logů: Knowledge Discovery from Web Logs. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/53439

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Vlk, Vladimír. “Získávání znalostí z webových logů: Knowledge Discovery from Web Logs.” 2020. Thesis, Brno University of Technology. Accessed January 26, 2021. http://hdl.handle.net/11012/53439.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Vlk, Vladimír. “Získávání znalostí z webových logů: Knowledge Discovery from Web Logs.” 2020. Web. 26 Jan 2021.

Vancouver:

Vlk V. Získávání znalostí z webových logů: Knowledge Discovery from Web Logs. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Jan 26]. Available from: http://hdl.handle.net/11012/53439.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vlk V. Získávání znalostí z webových logů: Knowledge Discovery from Web Logs. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/53439

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

20. Shun, Yeuk Kiu. Web mining from client side user activity log.

Degree: 2002, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-5756 ; https://doi.org/10.14711/thesis-b777631 ; http://repository.ust.hk/ir/bitstream/1783.1-5756/1/th_redirect.html

► Data mining techniques, mainly clustering and association rule mining, are widely applied to the World Wide Web scenario. Various applications including server log mining, collaborative… (more)

Subjects/Keywords: Web usage mining ; Data mining ; World Wide Web

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Shun, Y. K. (2002). Web mining from client side user activity log. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-5756 ; https://doi.org/10.14711/thesis-b777631 ; http://repository.ust.hk/ir/bitstream/1783.1-5756/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Shun, Yeuk Kiu. “Web mining from client side user activity log.” 2002. Thesis, Hong Kong University of Science and Technology. Accessed January 26, 2021. http://repository.ust.hk/ir/Record/1783.1-5756 ; https://doi.org/10.14711/thesis-b777631 ; http://repository.ust.hk/ir/bitstream/1783.1-5756/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Shun, Yeuk Kiu. “Web mining from client side user activity log.” 2002. Web. 26 Jan 2021.

Vancouver:

Shun YK. Web mining from client side user activity log. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2002. [cited 2021 Jan 26]. Available from: http://repository.ust.hk/ir/Record/1783.1-5756 ; https://doi.org/10.14711/thesis-b777631 ; http://repository.ust.hk/ir/bitstream/1783.1-5756/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shun YK. Web mining from client side user activity log. [Thesis]. Hong Kong University of Science and Technology; 2002. Available from: http://repository.ust.hk/ir/Record/1783.1-5756 ; https://doi.org/10.14711/thesis-b777631 ; http://repository.ust.hk/ir/bitstream/1783.1-5756/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

21. Wang, Hui. Mining novel Web user behavior models for access prediction.

Degree: 2003, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-5780 ; https://doi.org/10.14711/thesis-b805948 ; http://repository.ust.hk/ir/bitstream/1783.1-5780/1/th_redirect.html

► As Web sites continue to grow in size and complexity, the results of Web usage mining have become critical for a number of applications such… (more)

Subjects/Keywords: Web usage mining ; Data mining ; World Wide Web

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APA (6^th Edition):

Wang, H. (2003). Mining novel Web user behavior models for access prediction. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-5780 ; https://doi.org/10.14711/thesis-b805948 ; http://repository.ust.hk/ir/bitstream/1783.1-5780/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Wang, Hui. “Mining novel Web user behavior models for access prediction.” 2003. Thesis, Hong Kong University of Science and Technology. Accessed January 26, 2021. http://repository.ust.hk/ir/Record/1783.1-5780 ; https://doi.org/10.14711/thesis-b805948 ; http://repository.ust.hk/ir/bitstream/1783.1-5780/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Wang, Hui. “Mining novel Web user behavior models for access prediction.” 2003. Web. 26 Jan 2021.

Vancouver:

Wang H. Mining novel Web user behavior models for access prediction. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2003. [cited 2021 Jan 26]. Available from: http://repository.ust.hk/ir/Record/1783.1-5780 ; https://doi.org/10.14711/thesis-b805948 ; http://repository.ust.hk/ir/bitstream/1783.1-5780/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang H. Mining novel Web user behavior models for access prediction. [Thesis]. Hong Kong University of Science and Technology; 2003. Available from: http://repository.ust.hk/ir/Record/1783.1-5780 ; https://doi.org/10.14711/thesis-b805948 ; http://repository.ust.hk/ir/bitstream/1783.1-5780/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Anna University

22. Sathiyamoorthi, V. Optimized proxy based web caching system using MART1; -.

Degree: Information and Communication Engineering, 2014, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/24333

►

Internet technology has provided a lot of services for sharing and distributing information across the world Among all the services World Wide Web plays a… (more)

Subjects/Keywords: Information and communication engineering; Modified adaptive resonance theory1; Web caching; Web caching system; Web usage mining

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APA (6^th Edition):

Sathiyamoorthi, V. (2014). Optimized proxy based web caching system using MART1; -. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/24333

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Sathiyamoorthi, V. “Optimized proxy based web caching system using MART1; -.” 2014. Thesis, Anna University. Accessed January 26, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/24333.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Sathiyamoorthi, V. “Optimized proxy based web caching system using MART1; -.” 2014. Web. 26 Jan 2021.

Vancouver:

Sathiyamoorthi V. Optimized proxy based web caching system using MART1; -. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Jan 26]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/24333.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sathiyamoorthi V. Optimized proxy based web caching system using MART1; -. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/24333

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Ryerson University

23. Verspan, Stephen. Decision maker satisfaction in a web analytics context: the impact of analysts’ skills.

Degree: 2012, Ryerson University

URL: https://digital.library.ryerson.ca/islandora/object/RULA%3A2773

► This quantitative research targets decision makers, who rely on the analysis of web data (web analytics) in order to make strategic decisions. As identified in… (more)

Subjects/Keywords: Knowledge workers – Ability – Web usage mining – Decision making – Employee selection – Information technology – Management

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APA (6^th Edition):

Verspan, S. (2012). Decision maker satisfaction in a web analytics context: the impact of analysts’ skills. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A2773

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Verspan, Stephen. “Decision maker satisfaction in a web analytics context: the impact of analysts’ skills.” 2012. Thesis, Ryerson University. Accessed January 26, 2021. https://digital.library.ryerson.ca/islandora/object/RULA%3A2773.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Verspan, Stephen. “Decision maker satisfaction in a web analytics context: the impact of analysts’ skills.” 2012. Web. 26 Jan 2021.

Vancouver:

Verspan S. Decision maker satisfaction in a web analytics context: the impact of analysts’ skills. [Internet] [Thesis]. Ryerson University; 2012. [cited 2021 Jan 26]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A2773.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Verspan S. Decision maker satisfaction in a web analytics context: the impact of analysts’ skills. [Thesis]. Ryerson University; 2012. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A2773

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Utah State University

24. Palmer, Bart C. Web Usage Mining: Application To An Online Educational Digital Library Service.

Degree: PhD, Instructional Technology and Learning Sciences, 2012, Utah State University

URL: https://digitalcommons.usu.edu/etd/1215

► This dissertation was situated in the crossroads of educational data mining (EDM), educational digital libraries (such as the National Science Digital Library; http://nsdl.org), and… (more)

Subjects/Keywords: Web; Usage; Mining; Online; Education; Digital Library; Service; Arts and Humanities; Education; Philosophy

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APA (6^th Edition):

Palmer, B. C. (2012). Web Usage Mining: Application To An Online Educational Digital Library Service. (Doctoral Dissertation). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/1215

Chicago Manual of Style (16^th Edition):

Palmer, Bart C. “Web Usage Mining: Application To An Online Educational Digital Library Service.” 2012. Doctoral Dissertation, Utah State University. Accessed January 26, 2021. https://digitalcommons.usu.edu/etd/1215.

MLA Handbook (7^th Edition):

Palmer, Bart C. “Web Usage Mining: Application To An Online Educational Digital Library Service.” 2012. Web. 26 Jan 2021.

Vancouver:

Palmer BC. Web Usage Mining: Application To An Online Educational Digital Library Service. [Internet] [Doctoral dissertation]. Utah State University; 2012. [cited 2021 Jan 26]. Available from: https://digitalcommons.usu.edu/etd/1215.

Council of Science Editors:

Palmer BC. Web Usage Mining: Application To An Online Educational Digital Library Service. [Doctoral Dissertation]. Utah State University; 2012. Available from: https://digitalcommons.usu.edu/etd/1215

Florida Atlantic University

25. Liu, Hui. Real-Time Data Analytics and Optimization for Computational Advertising.

Degree: MS, 2017, Florida Atlantic University

URL: http://purl.flvc.org/fau/fd/FA00004940 ; (URL) http://purl.flvc.org/fau/fd/FA00004940

►

Summary: Online advertising has built a market of hundreds of billions of dollars and still continues to grow. With well developed techniques in big data… (more)

Subjects/Keywords: Internet marketing – Technological innovations.; Internet advertising – Technological innovations.; Data mining.; Web usage mining.; Business – Data processing.

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APA (6^th Edition):

Liu, H. (2017). Real-Time Data Analytics and Optimization for Computational Advertising. (Masters Thesis). Florida Atlantic University. Retrieved from http://purl.flvc.org/fau/fd/FA00004940 ; (URL) http://purl.flvc.org/fau/fd/FA00004940

Chicago Manual of Style (16^th Edition):

Liu, Hui. “Real-Time Data Analytics and Optimization for Computational Advertising.” 2017. Masters Thesis, Florida Atlantic University. Accessed January 26, 2021. http://purl.flvc.org/fau/fd/FA00004940 ; (URL) http://purl.flvc.org/fau/fd/FA00004940.

MLA Handbook (7^th Edition):

Liu, Hui. “Real-Time Data Analytics and Optimization for Computational Advertising.” 2017. Web. 26 Jan 2021.

Vancouver:

Liu H. Real-Time Data Analytics and Optimization for Computational Advertising. [Internet] [Masters thesis]. Florida Atlantic University; 2017. [cited 2021 Jan 26]. Available from: http://purl.flvc.org/fau/fd/FA00004940 ; (URL) http://purl.flvc.org/fau/fd/FA00004940.

Council of Science Editors:

Liu H. Real-Time Data Analytics and Optimization for Computational Advertising. [Masters Thesis]. Florida Atlantic University; 2017. Available from: http://purl.flvc.org/fau/fd/FA00004940 ; (URL) http://purl.flvc.org/fau/fd/FA00004940

Ryerson University

26. Pakzad, Fatemeh. Characterization of user networks in Facebook.

Degree: 2010, Ryerson University

URL: https://digital.library.ryerson.ca/islandora/object/RULA%3A6114

► The purpose of this thesis is to illuminate several characteristics of Facebook user networks in order to model user network formation in Facebook. Based on… (more)

Subjects/Keywords: Application software – Development.; Facebook (Firm); Social networks – Computer network resources.; Online social networks.; Web usage mining.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Pakzad, F. (2010). Characterization of user networks in Facebook. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A6114

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Pakzad, Fatemeh. “Characterization of user networks in Facebook.” 2010. Thesis, Ryerson University. Accessed January 26, 2021. https://digital.library.ryerson.ca/islandora/object/RULA%3A6114.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Pakzad, Fatemeh. “Characterization of user networks in Facebook.” 2010. Web. 26 Jan 2021.

Vancouver:

Pakzad F. Characterization of user networks in Facebook. [Internet] [Thesis]. Ryerson University; 2010. [cited 2021 Jan 26]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A6114.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pakzad F. Characterization of user networks in Facebook. [Thesis]. Ryerson University; 2010. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A6114

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Saskatchewan

27. Wang, Qing. Workload characterization and customer interaction at e-commerce web servers.

Degree: 2004, University of Saskatchewan

URL: http://hdl.handle.net/10388/etd-10272004-102346

► Electronic commerce servers have a significant presence in today's Internet. Corporations want to maintain high availability, sufficient capacity, and satisfactory performance for their E-commerce Web… (more)

▼ Electronic commerce servers have a significant presence in today's Internet. Corporations want to maintain high availability, sufficient capacity, and satisfactory performance for their E-commerce Web systems, and want to provide satisfactory services to customers. Workload characterization and the analysis of customers' interactions with Web sites are the bases upon which to analyze server performance, plan system capacity, manage system resources, and personalize services at the Web site. To date, little empirical evidence has been discovered that identifies the characteristics for Web workloads of E-commerce systems and the behaviours of customers. This thesis analyzes the Web access logs at public Web sites for three organizations: a car rental company, an IT company, and the Computer Science department of the University of Saskatchewan. In these case studies, the characteristics of Web workloads are explored at the request level, functionlevel, resource level, and session level; customers' interactions with Web sites are analyzed by identifying and characterizing session groups. The main E-commerce Web workload characteristics and performance implications are: i) The requests for dynamic Web objects are an important part of the workload. These requests should be characterized separately since the system processes them differently; ii) Some popular image files, which are embedded in the same Web page, are always requested together. If these files are requested and sent in a bundle, a system will greatly reduce the overheads in processing requests for these files; iii) The percentage of requests for each Web page category tends to be stable in the workload when the time scale is large enough. This observation is helpful in forecasting workload composition; iv) the Secure Socket Layer protocol (SSL) is heavily used and most Web objects are either requested primarily through SSL or primarily not through SSL; and v) Session groups of different characteristics are identified for all logs. The analysis of session groups may be helpful in improving system performance, maximizing revenue throughput of the system, providing better services to customers, and managing and planning system resources. A hybrid clustering algorithm, which is a combination of the minimum spanning tree method and k-means clustering algorithm, is proposed to identify session clusters. Session clusters obtained using the three session representations Pages Requested, Navigation Pattern, and Resource Usage are similar enough so that it is possible to use different session representations interchangeably to produce similar groupings. The grouping based on one session representation is believed to be sufficient to answer questions in server performance, resource management, capacity planning and Web site personalization, which previously would have required multiple different groupings. Grouping by Pages Requested is recommended since it is the simplest and data on Web pages requested is relatively easy to obtain in HTTP logs. Advisors/Committee Members: Makaroff, Dwight, Links, Graham, Carter, James A., Bunt, Rick B..

Subjects/Keywords: Web Usage Mining; Workload Characterization; E-commerce

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Wang, Q. (2004). Workload characterization and customer interaction at e-commerce web servers. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/etd-10272004-102346

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Wang, Qing. “Workload characterization and customer interaction at e-commerce web servers.” 2004. Thesis, University of Saskatchewan. Accessed January 26, 2021. http://hdl.handle.net/10388/etd-10272004-102346.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Wang, Qing. “Workload characterization and customer interaction at e-commerce web servers.” 2004. Web. 26 Jan 2021.

Vancouver:

Wang Q. Workload characterization and customer interaction at e-commerce web servers. [Internet] [Thesis]. University of Saskatchewan; 2004. [cited 2021 Jan 26]. Available from: http://hdl.handle.net/10388/etd-10272004-102346.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang Q. Workload characterization and customer interaction at e-commerce web servers. [Thesis]. University of Saskatchewan; 2004. Available from: http://hdl.handle.net/10388/etd-10272004-102346

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Hong Kong

28. Jiang, Hao. Personalized web search re-ranking and content recommendation.

Degree: 2013, University of Hong Kong

URL: http://hdl.handle.net/10722/197548

► In this thesis, I propose a method for establishing a personalized recommendation system for re-ranking web search results and recommending web contents. The method is… (more)

▼ In this thesis, I propose a method for establishing a personalized recommendation system for re-ranking web search results and recommending web contents. The method is based on personal reading interest which can be reflected by the user’s dwell time on each document or webpage. I acquire document-level dwell times via a customized web browser, or a mobile device. To obtain better precision, I also explore the possibility of tracking gaze position and facial expression, from which I can determine the attractiveness of different parts of a document. Inspired by idea of Google Knowledge Graph, I also establish a graph-based ontology to maintain a user profile to describe the user’s personal reading interest. Each node in the graph is a concept, which represents the user’s potential interest on this concept. I also use the dwell time to measure concept-level interest, which can be inferred from document-level user dwell times. The graph is generated based on the Wikipedia. According to the estimated concept-level user interest, my algorithm can estimate a user’s potential dwell time over a new document, based on which personalized webpage re-ranking can be carried out. I compare the rankings produced by my algorithm with rankings generated by popular commercial search engines and a recently proposed personalized ranking algorithm. The results clearly show the superiority of my method. I also use my personalized recommendation framework in other applications. A good example is personalized document summarization. The same knowledge graph is employed to estimate the weight of every word in a document; combining with a traditional document summarization algorithm which focused on text mining, I could generate a personalized summary which emphasize the user’s interest in the document. To deal with images and videos, I present a new image search and ranking algorithm for retrieving unannotated images by collaboratively mining online search results, which consists of online images and text search results. The online image search results are leveraged as reference examples to perform content-based image search over unannotated images. The online text search results are used to estimate individual reference images’ relevance to the search query as not all the online image search results are closely related to the query. Overall, the key contribution of my method lies in its ability to deal with unreliable online image search results through jointly mining visual and textual aspects of online search results. Through such collaborative mining, my algorithm infers the relevance of an online search result image to a text query. Once I estimate a query relevance score for each online image search result, I can selectively use query specific online search result images as reference examples for retrieving and ranking unannotated images. To explore the performance of my algorithm, I tested it both on a standard public image datasets and several modestly sized personal photo collections. I also compared the performance of my… Advisors/Committee Members: Lau, FCM (advisor).

Subjects/Keywords: Web usage mining; Recommender systems (Information filtering)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Jiang, H. (2013). Personalized web search re-ranking and content recommendation. (Thesis). University of Hong Kong. Retrieved from http://hdl.handle.net/10722/197548

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Jiang, Hao. “Personalized web search re-ranking and content recommendation.” 2013. Thesis, University of Hong Kong. Accessed January 26, 2021. http://hdl.handle.net/10722/197548.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Jiang, Hao. “Personalized web search re-ranking and content recommendation.” 2013. Web. 26 Jan 2021.

Vancouver:

Jiang H. Personalized web search re-ranking and content recommendation. [Internet] [Thesis]. University of Hong Kong; 2013. [cited 2021 Jan 26]. Available from: http://hdl.handle.net/10722/197548.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jiang H. Personalized web search re-ranking and content recommendation. [Thesis]. University of Hong Kong; 2013. Available from: http://hdl.handle.net/10722/197548

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Universidade Federal do Maranhão

29. Leandro Balby Marinho. AN MULTIAGENT FRAMEWORK FOR PERSONALIZATION OF THE WEB BASED ON MODELING OF USERS AND IN THE MINING OF USE.

Degree: 2005, Universidade Federal do Maranhão

URL: http://www.tedebc.ufma.br//tde_busca/arquivo.php?codArquivo=254

►

With the continuous migration of a great diversity of services to the Web, the need for characterizing the users in this environment increases. For that,… (more)

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With the continuous migration of a great diversity of services to the Web, the need for characterizing the users in this environment increases. For that, components that can continually perceive their environment and rapidly adapt to its changes are required, thus reflecting the changes in the user behaviors. Among the existent approaches for modeling Web users, Web usage mining appears as one of the most interesting. Through Web usage mining a user can be implicitly and automatically modeled through his/her usage data, generated from his/her interaction with the Web. This work proposes ONTOWUM, a user modeling and usage mining-based multi-agent framework for Web personalization. The framework comprises two layers, where four agents are distributed according to their responsibilities: Interface agent, responsible for both capturing the user browsing information and performing the adaptation effects; User Modeling agent, responsible for creating and updating both user models and adaptation models; Acquirer agent, responsible for creating and updating an usage data repository containing past user models; and finally, Miner agent, responsible for both discovering group of users with similar browsing behavior and classifying the current user in these groups. The Interface and User modeling agents belong to the user information-processing layer, and the Acquirer and Miner agents belong to the pattern-discovering layer. The methodology and tool used to guide the analyses and design phases were MADEM (Multi-Agent Domain Engineering Methodology) and ONTOMADEM, respectively. For the implementation of ONTOWUM it was used the JADE framework.

Com a incessante migração das mais diversas categorias de serviços ao ambiente Web, a necessidade de caracterizar os usuários nesse ambiente nunca foi tão presente. Para isso, são necessários componentes que tenham a habilidade de continuamente perceber o ambiente e rapidamente se adaptarem a ele, refletindo assim as próprias mudanças no comportamento do usuário. Dentre as abordagens existentes para a modelagem de usuários da Web, a mineração de uso da Web figura entre as mais interessantes, pois através dessa abordagem pode-se modelar o usuário implicitamente através dos dados de uso gerados através da sua interação com a Web. Este trabalho propõe ONTOMUW", um framework multiagente para a personalização da Web baseado na modelagem de usuários e na mineração de uso. O framework é composto por duas camadas onde se distribuem quatro agentes de acordo com suas responsabilidades: agente Interfaceador, responsável tanto pela captura das informações provenientes da navegação do usuário quanto pela execução da adaptação; agente Modelador, responsável por criar e atualizar tanto modelos de usuários quanto modelos de adaptação; agente Aquisitor, responsável pela criação e manutenção de um repositório de dados de uso contendo os modelos de usuários passados; e, finalmente, agente Minerador, responsável tanto pela descoberta de grupos de usuários com comportamento de navegação similar quanto pela…

Advisors/Committee Members: Maria del Rosario Girardi.

Subjects/Keywords: Hypermedia adaptive systems; Mineração de uso da Web; Engenharia de domínio multiagente; Web usage mining; Sistemas hipermídia adaptativos; BANCO DE DADOS; User modeling; Modelagem de usuários; Multi-agent domain engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Marinho, L. B. (2005). AN MULTIAGENT FRAMEWORK FOR PERSONALIZATION OF THE WEB BASED ON MODELING OF USERS AND IN THE MINING OF USE. (Thesis). Universidade Federal do Maranhão. Retrieved from http://www.tedebc.ufma.br//tde_busca/arquivo.php?codArquivo=254

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Marinho, Leandro Balby. “AN MULTIAGENT FRAMEWORK FOR PERSONALIZATION OF THE WEB BASED ON MODELING OF USERS AND IN THE MINING OF USE.” 2005. Thesis, Universidade Federal do Maranhão. Accessed January 26, 2021. http://www.tedebc.ufma.br//tde_busca/arquivo.php?codArquivo=254.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Marinho, Leandro Balby. “AN MULTIAGENT FRAMEWORK FOR PERSONALIZATION OF THE WEB BASED ON MODELING OF USERS AND IN THE MINING OF USE.” 2005. Web. 26 Jan 2021.

Vancouver:

Marinho LB. AN MULTIAGENT FRAMEWORK FOR PERSONALIZATION OF THE WEB BASED ON MODELING OF USERS AND IN THE MINING OF USE. [Internet] [Thesis]. Universidade Federal do Maranhão; 2005. [cited 2021 Jan 26]. Available from: http://www.tedebc.ufma.br//tde_busca/arquivo.php?codArquivo=254.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Marinho LB. AN MULTIAGENT FRAMEWORK FOR PERSONALIZATION OF THE WEB BASED ON MODELING OF USERS AND IN THE MINING OF USE. [Thesis]. Universidade Federal do Maranhão; 2005. Available from: http://www.tedebc.ufma.br//tde_busca/arquivo.php?codArquivo=254

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Universidad de Chile

30. Villar Escobar, Osvaldo Pablo. Minería y Personalización de un Sitio Web para Celulares.

Degree: 2007, Universidad de Chile

URL: http://repositorio.uchile.cl/tesis/uchile/2007/villar_oe/html/index-frames.html; http://repositorio.uchile.cl/handle/2250/104823

Subjects/Keywords: Computación; Data mining; Recomendación; Web mining; Personalización; Filtro colaborativo; Web usage mining; Contenido; Modelo matemático

Record Details Similar Records Cite « Share

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Villar Escobar, O. P. (2007). Minería y Personalización de un Sitio Web para Celulares. (Thesis). Universidad de Chile. Retrieved from http://repositorio.uchile.cl/tesis/uchile/2007/villar_oe/html/index-frames.html; http://repositorio.uchile.cl/handle/2250/104823

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Villar Escobar, Osvaldo Pablo. “Minería y Personalización de un Sitio Web para Celulares.” 2007. Thesis, Universidad de Chile. Accessed January 26, 2021. http://repositorio.uchile.cl/tesis/uchile/2007/villar_oe/html/index-frames.html; http://repositorio.uchile.cl/handle/2250/104823.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Villar Escobar, Osvaldo Pablo. “Minería y Personalización de un Sitio Web para Celulares.” 2007. Web. 26 Jan 2021.

Vancouver:

Villar Escobar OP. Minería y Personalización de un Sitio Web para Celulares. [Internet] [Thesis]. Universidad de Chile; 2007. [cited 2021 Jan 26]. Available from: http://repositorio.uchile.cl/tesis/uchile/2007/villar_oe/html/index-frames.html; http://repositorio.uchile.cl/handle/2250/104823.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Villar Escobar OP. Minería y Personalización de un Sitio Web para Celulares. [Thesis]. Universidad de Chile; 2007. Available from: http://repositorio.uchile.cl/tesis/uchile/2007/villar_oe/html/index-frames.html; http://repositorio.uchile.cl/handle/2250/104823

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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