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You searched for subject:(Knowledge Discovery). Showing records 1 – 30 of 354 total matches.

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University of Tasmania

1. Ling, TR. A method for knowledge discovery and development with health data .

Degree: 2011, University of Tasmania

 One of the most overlooked problems in the field of knowledge discovery is the acquisition and incorporation of existing knowledge about the data being analysed… (more)

Subjects/Keywords: knowledge discovery; knowledge acquisition; knowledge comparison

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APA (6th Edition):

Ling, T. (2011). A method for knowledge discovery and development with health data . (Thesis). University of Tasmania. Retrieved from https://eprints.utas.edu.au/12484/1/Ling_whole.pdf

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

Chicago Manual of Style (16th Edition):

Ling, TR. “A method for knowledge discovery and development with health data .” 2011. Thesis, University of Tasmania. Accessed March 19, 2019. https://eprints.utas.edu.au/12484/1/Ling_whole.pdf.

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

MLA Handbook (7th Edition):

Ling, TR. “A method for knowledge discovery and development with health data .” 2011. Web. 19 Mar 2019.

Vancouver:

Ling T. A method for knowledge discovery and development with health data . [Internet] [Thesis]. University of Tasmania; 2011. [cited 2019 Mar 19]. Available from: https://eprints.utas.edu.au/12484/1/Ling_whole.pdf.

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

Council of Science Editors:

Ling T. A method for knowledge discovery and development with health data . [Thesis]. University of Tasmania; 2011. Available from: https://eprints.utas.edu.au/12484/1/Ling_whole.pdf

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


University of Texas – Austin

2. Xu, Ph. D., Shu. Data cleaning and knowledge discovery in process data.

Degree: Chemical Engineering, 2015, University of Texas – Austin

 This dissertation presents several methods for overcoming the Big Data challenges, with an emphasis on data cleaning and knowledge discovery in process data. Data cleaning… (more)

Subjects/Keywords: Data cleaning; Knowledge discovery

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APA (6th Edition):

Xu, Ph. D., S. (2015). Data cleaning and knowledge discovery in process data. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/32920

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

Chicago Manual of Style (16th Edition):

Xu, Ph. D., Shu. “Data cleaning and knowledge discovery in process data.” 2015. Thesis, University of Texas – Austin. Accessed March 19, 2019. http://hdl.handle.net/2152/32920.

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

MLA Handbook (7th Edition):

Xu, Ph. D., Shu. “Data cleaning and knowledge discovery in process data.” 2015. Web. 19 Mar 2019.

Vancouver:

Xu, Ph. D. S. Data cleaning and knowledge discovery in process data. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/2152/32920.

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

Council of Science Editors:

Xu, Ph. D. S. Data cleaning and knowledge discovery in process data. [Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/32920

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


University of Notre Dame

3. Nathan James Regola. Infrastructure For Big Data</h1>.

Degree: PhD, Computer Science and Engineering, 2012, University of Notre Dame

  Data is being collected at an increasing rate and is relied on for decision making processes in a variety of industries. The modern day… (more)

Subjects/Keywords: databases; knowledge discovery; benchmarking

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APA (6th Edition):

Regola, N. J. (2012). Infrastructure For Big Data</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/vh53ws87v11

Chicago Manual of Style (16th Edition):

Regola, Nathan James. “Infrastructure For Big Data</h1>.” 2012. Doctoral Dissertation, University of Notre Dame. Accessed March 19, 2019. https://curate.nd.edu/show/vh53ws87v11.

MLA Handbook (7th Edition):

Regola, Nathan James. “Infrastructure For Big Data</h1>.” 2012. Web. 19 Mar 2019.

Vancouver:

Regola NJ. Infrastructure For Big Data</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2012. [cited 2019 Mar 19]. Available from: https://curate.nd.edu/show/vh53ws87v11.

Council of Science Editors:

Regola NJ. Infrastructure For Big Data</h1>. [Doctoral Dissertation]. University of Notre Dame; 2012. Available from: https://curate.nd.edu/show/vh53ws87v11


Anna University

4. Appavu alias balamurugan S. Enhancing the performance of Classification algorithms through Dataset tuning feature selection and Exception handling;.

Degree: Enhancing the performance of Classification algorithms through Dataset tuning feature selection and Exception handling, 2015, Anna University

This thesis presents a spectrum of novel solutions for enhancing the newlineperformance of classification tasks in Knowledge Discovery Process by newlinetaking into account redundant and… (more)

Subjects/Keywords: Bayes Theorem; Knowledge Discovery in Databases; Knowledge Discovery Process

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APA (6th Edition):

S, A. a. b. (2015). Enhancing the performance of Classification algorithms through Dataset tuning feature selection and Exception handling;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/33120

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

Chicago Manual of Style (16th Edition):

S, Appavu alias balamurugan. “Enhancing the performance of Classification algorithms through Dataset tuning feature selection and Exception handling;.” 2015. Thesis, Anna University. Accessed March 19, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/33120.

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

MLA Handbook (7th Edition):

S, Appavu alias balamurugan. “Enhancing the performance of Classification algorithms through Dataset tuning feature selection and Exception handling;.” 2015. Web. 19 Mar 2019.

Vancouver:

S Aab. Enhancing the performance of Classification algorithms through Dataset tuning feature selection and Exception handling;. [Internet] [Thesis]. Anna University; 2015. [cited 2019 Mar 19]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/33120.

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

Council of Science Editors:

S Aab. Enhancing the performance of Classification algorithms through Dataset tuning feature selection and Exception handling;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/33120

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


Universiteit Utrecht

5. Melendez Esquivel, A.I. Gaining insight from professional online social networks to support business decisions.

Degree: 2014, Universiteit Utrecht

 Online social networks are a technological phenomenon that has affected the communication dynamics of modern society. From the way people interact with friends and colleagues,… (more)

Subjects/Keywords: Online Social Networks; Knowledge Discovery; LinkedIn

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APA (6th Edition):

Melendez Esquivel, A. I. (2014). Gaining insight from professional online social networks to support business decisions. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/298571

Chicago Manual of Style (16th Edition):

Melendez Esquivel, A I. “Gaining insight from professional online social networks to support business decisions.” 2014. Masters Thesis, Universiteit Utrecht. Accessed March 19, 2019. http://dspace.library.uu.nl:8080/handle/1874/298571.

MLA Handbook (7th Edition):

Melendez Esquivel, A I. “Gaining insight from professional online social networks to support business decisions.” 2014. Web. 19 Mar 2019.

Vancouver:

Melendez Esquivel AI. Gaining insight from professional online social networks to support business decisions. [Internet] [Masters thesis]. Universiteit Utrecht; 2014. [cited 2019 Mar 19]. Available from: http://dspace.library.uu.nl:8080/handle/1874/298571.

Council of Science Editors:

Melendez Esquivel AI. Gaining insight from professional online social networks to support business decisions. [Masters Thesis]. Universiteit Utrecht; 2014. Available from: http://dspace.library.uu.nl:8080/handle/1874/298571


The Ohio State University

6. Albin, Aaron. Building an online UMLS knowledge discovery platform using graph indexing.

Degree: MS, Computer Science and Engineering, 2014, The Ohio State University

 The UMLS is a rich collection of biomedical concepts which are connected by semantic relations. Using transitively associated information for knowledge discovery has been shown… (more)

Subjects/Keywords: Computer Science; UMLS; graph indexing; knowledge discovery

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

APA (6th Edition):

Albin, A. (2014). Building an online UMLS knowledge discovery platform using graph indexing. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1398946883

Chicago Manual of Style (16th Edition):

Albin, Aaron. “Building an online UMLS knowledge discovery platform using graph indexing.” 2014. Masters Thesis, The Ohio State University. Accessed March 19, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1398946883.

MLA Handbook (7th Edition):

Albin, Aaron. “Building an online UMLS knowledge discovery platform using graph indexing.” 2014. Web. 19 Mar 2019.

Vancouver:

Albin A. Building an online UMLS knowledge discovery platform using graph indexing. [Internet] [Masters thesis]. The Ohio State University; 2014. [cited 2019 Mar 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1398946883.

Council of Science Editors:

Albin A. Building an online UMLS knowledge discovery platform using graph indexing. [Masters Thesis]. The Ohio State University; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1398946883

7. Lefebvre, A.E. Reproducible Research and Interactive Data Mining in Bioinformatics.

Degree: 2015, Universiteit Utrecht

 Data analysis of Next-Generation sequencing data is widely recognized as being a bottleneck on the way to understanding the human genome and personalize treatments. Studies… (more)

Subjects/Keywords: Reproducible Research; Knowledge discovery; bioinformatics; biomedical science

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APA (6th Edition):

Lefebvre, A. E. (2015). Reproducible Research and Interactive Data Mining in Bioinformatics. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/319430

Chicago Manual of Style (16th Edition):

Lefebvre, A E. “Reproducible Research and Interactive Data Mining in Bioinformatics.” 2015. Masters Thesis, Universiteit Utrecht. Accessed March 19, 2019. http://dspace.library.uu.nl:8080/handle/1874/319430.

MLA Handbook (7th Edition):

Lefebvre, A E. “Reproducible Research and Interactive Data Mining in Bioinformatics.” 2015. Web. 19 Mar 2019.

Vancouver:

Lefebvre AE. Reproducible Research and Interactive Data Mining in Bioinformatics. [Internet] [Masters thesis]. Universiteit Utrecht; 2015. [cited 2019 Mar 19]. Available from: http://dspace.library.uu.nl:8080/handle/1874/319430.

Council of Science Editors:

Lefebvre AE. Reproducible Research and Interactive Data Mining in Bioinformatics. [Masters Thesis]. Universiteit Utrecht; 2015. Available from: http://dspace.library.uu.nl:8080/handle/1874/319430


University of Sydney

8. Babbar, Sakshi. Inferring Anomalies from Data using Bayesian Networks .

Degree: 2013, University of Sydney

 Existing studies on data mining has largely focused on the design of measures and algorithms to identify outliers in large and high dimensional categorical and… (more)

Subjects/Keywords: Bayesian networks; outlier; causal inference; knowledge discovery

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APA (6th Edition):

Babbar, S. (2013). Inferring Anomalies from Data using Bayesian Networks . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/9371

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

Chicago Manual of Style (16th Edition):

Babbar, Sakshi. “Inferring Anomalies from Data using Bayesian Networks .” 2013. Thesis, University of Sydney. Accessed March 19, 2019. http://hdl.handle.net/2123/9371.

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

MLA Handbook (7th Edition):

Babbar, Sakshi. “Inferring Anomalies from Data using Bayesian Networks .” 2013. Web. 19 Mar 2019.

Vancouver:

Babbar S. Inferring Anomalies from Data using Bayesian Networks . [Internet] [Thesis]. University of Sydney; 2013. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/2123/9371.

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

Council of Science Editors:

Babbar S. Inferring Anomalies from Data using Bayesian Networks . [Thesis]. University of Sydney; 2013. Available from: http://hdl.handle.net/2123/9371

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


Universidade Nova

9. Serras, Flávia Alexandra Jorge. Métodos de aprendizagem automática: um estudo baseado na avaliação e previsão de clientes bancários.

Degree: 2016, Universidade Nova

 Data Mining surge, hoje em dia, como uma ferramenta importante e crucial para o sucesso de um negócio. O considerável volume de dados que atualmente… (more)

Subjects/Keywords: Data Mining; Knowledge Discovery Database; Machine Learning

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APA (6th Edition):

Serras, F. A. J. (2016). Métodos de aprendizagem automática: um estudo baseado na avaliação e previsão de clientes bancários. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/17371

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

Chicago Manual of Style (16th Edition):

Serras, Flávia Alexandra Jorge. “Métodos de aprendizagem automática: um estudo baseado na avaliação e previsão de clientes bancários.” 2016. Thesis, Universidade Nova. Accessed March 19, 2019. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/17371.

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

MLA Handbook (7th Edition):

Serras, Flávia Alexandra Jorge. “Métodos de aprendizagem automática: um estudo baseado na avaliação e previsão de clientes bancários.” 2016. Web. 19 Mar 2019.

Vancouver:

Serras FAJ. Métodos de aprendizagem automática: um estudo baseado na avaliação e previsão de clientes bancários. [Internet] [Thesis]. Universidade Nova; 2016. [cited 2019 Mar 19]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/17371.

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

Council of Science Editors:

Serras FAJ. Métodos de aprendizagem automática: um estudo baseado na avaliação e previsão de clientes bancários. [Thesis]. Universidade Nova; 2016. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/17371

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


University of Limerick

10. Alahmadi, Alaa. Automatic text classification using bag of words and bag of concepts based representations.

Degree: 2016, University of Limerick

 Automatic Text Classification (ATC) is one of the most important tasks in data mining for organizing information and knowledge discovery. The goal of ATC is… (more)

Subjects/Keywords: automatic text classification; ATC; knowledge discovery

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APA (6th Edition):

Alahmadi, A. (2016). Automatic text classification using bag of words and bag of concepts based representations. (Thesis). University of Limerick. Retrieved from http://hdl.handle.net/10344/5224

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

Chicago Manual of Style (16th Edition):

Alahmadi, Alaa. “Automatic text classification using bag of words and bag of concepts based representations.” 2016. Thesis, University of Limerick. Accessed March 19, 2019. http://hdl.handle.net/10344/5224.

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

MLA Handbook (7th Edition):

Alahmadi, Alaa. “Automatic text classification using bag of words and bag of concepts based representations.” 2016. Web. 19 Mar 2019.

Vancouver:

Alahmadi A. Automatic text classification using bag of words and bag of concepts based representations. [Internet] [Thesis]. University of Limerick; 2016. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/10344/5224.

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

Council of Science Editors:

Alahmadi A. Automatic text classification using bag of words and bag of concepts based representations. [Thesis]. University of Limerick; 2016. Available from: http://hdl.handle.net/10344/5224

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


University of Southern California

11. Quan, Lin. Learning about the Internet through efficient sampling and aggregation.

Degree: PhD, Computer Science, 2014, University of Southern California

 The Internet is important for nearly all aspects of our society, affecting ordinary people, businesses, and social activities. Because of its importance and wide‐spread applications,… (more)

Subjects/Keywords: Internet measurement; knowledge discovery; sampling and aggregation

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APA (6th Edition):

Quan, L. (2014). Learning about the Internet through efficient sampling and aggregation. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/366017/rec/3774

Chicago Manual of Style (16th Edition):

Quan, Lin. “Learning about the Internet through efficient sampling and aggregation.” 2014. Doctoral Dissertation, University of Southern California. Accessed March 19, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/366017/rec/3774.

MLA Handbook (7th Edition):

Quan, Lin. “Learning about the Internet through efficient sampling and aggregation.” 2014. Web. 19 Mar 2019.

Vancouver:

Quan L. Learning about the Internet through efficient sampling and aggregation. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Mar 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/366017/rec/3774.

Council of Science Editors:

Quan L. Learning about the Internet through efficient sampling and aggregation. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/366017/rec/3774

12. Pila, Adriano Donizete. Computação Evolutiva para a Construção de Regras de Conhecimento com Propriedades Específicas.

Degree: PhD, Ciências de Computação e Matemática Computacional, 2007, University of São Paulo

A maioria dos algoritmos de aprendizado de máquina simbólico utilizam regras de conhecimento if-then como linguagem de descrição para expressar o conhecimento aprendido. O objetivo… (more)

Subjects/Keywords: Computação evolutiva; Descoberta de conhecimento; Evolutionary computing; Knowledge discovery; Knowledge rules; Regras de conhecimento

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

APA (6th Edition):

Pila, A. D. (2007). Computação Evolutiva para a Construção de Regras de Conhecimento com Propriedades Específicas. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55134/tde-03052007-134537/ ;

Chicago Manual of Style (16th Edition):

Pila, Adriano Donizete. “Computação Evolutiva para a Construção de Regras de Conhecimento com Propriedades Específicas.” 2007. Doctoral Dissertation, University of São Paulo. Accessed March 19, 2019. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-03052007-134537/ ;.

MLA Handbook (7th Edition):

Pila, Adriano Donizete. “Computação Evolutiva para a Construção de Regras de Conhecimento com Propriedades Específicas.” 2007. Web. 19 Mar 2019.

Vancouver:

Pila AD. Computação Evolutiva para a Construção de Regras de Conhecimento com Propriedades Específicas. [Internet] [Doctoral dissertation]. University of São Paulo; 2007. [cited 2019 Mar 19]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-03052007-134537/ ;.

Council of Science Editors:

Pila AD. Computação Evolutiva para a Construção de Regras de Conhecimento com Propriedades Específicas. [Doctoral Dissertation]. University of São Paulo; 2007. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-03052007-134537/ ;


University of Arizona

13. Li, Xin. Graph-based learning for information systems .

Degree: 2009, University of Arizona

 The advance of information technologies (IT) makes it possible to collect a massive amount of data in business applications and information systems. The increasing data… (more)

Subjects/Keywords: Data mining; Graph-based learning; Graph-structured data; Information systems; Knowledge discovery; Knowledge managment

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APA (6th Edition):

Li, X. (2009). Graph-based learning for information systems . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/193827

Chicago Manual of Style (16th Edition):

Li, Xin. “Graph-based learning for information systems .” 2009. Doctoral Dissertation, University of Arizona. Accessed March 19, 2019. http://hdl.handle.net/10150/193827.

MLA Handbook (7th Edition):

Li, Xin. “Graph-based learning for information systems .” 2009. Web. 19 Mar 2019.

Vancouver:

Li X. Graph-based learning for information systems . [Internet] [Doctoral dissertation]. University of Arizona; 2009. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/10150/193827.

Council of Science Editors:

Li X. Graph-based learning for information systems . [Doctoral Dissertation]. University of Arizona; 2009. Available from: http://hdl.handle.net/10150/193827


University of Wollongong

14. Polpinij, Jantima. Ontology-based knowledge discovery from unstructured and semi-structured text.

Degree: PhD, 2014, University of Wollongong

  This dissertation proposes a novel methodology for knowledge discovery in large data sets, with a focus on unstructured and semi-structured textual data. To our… (more)

Subjects/Keywords: knowledge discovery; ontology; unstructured text; Semi-structured text

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

APA (6th Edition):

Polpinij, J. (2014). Ontology-based knowledge discovery from unstructured and semi-structured text. (Doctoral Dissertation). University of Wollongong. Retrieved from 080107 Natural Language Processing, 080109 Pattern Recognition and Data Mining ; http://ro.uow.edu.au/theses/4172

Chicago Manual of Style (16th Edition):

Polpinij, Jantima. “Ontology-based knowledge discovery from unstructured and semi-structured text.” 2014. Doctoral Dissertation, University of Wollongong. Accessed March 19, 2019. 080107 Natural Language Processing, 080109 Pattern Recognition and Data Mining ; http://ro.uow.edu.au/theses/4172.

MLA Handbook (7th Edition):

Polpinij, Jantima. “Ontology-based knowledge discovery from unstructured and semi-structured text.” 2014. Web. 19 Mar 2019.

Vancouver:

Polpinij J. Ontology-based knowledge discovery from unstructured and semi-structured text. [Internet] [Doctoral dissertation]. University of Wollongong; 2014. [cited 2019 Mar 19]. Available from: 080107 Natural Language Processing, 080109 Pattern Recognition and Data Mining ; http://ro.uow.edu.au/theses/4172.

Council of Science Editors:

Polpinij J. Ontology-based knowledge discovery from unstructured and semi-structured text. [Doctoral Dissertation]. University of Wollongong; 2014. Available from: 080107 Natural Language Processing, 080109 Pattern Recognition and Data Mining ; http://ro.uow.edu.au/theses/4172


Anna University

15. Kanimozhiselvi C S. An investigation on automatic support thresholds for association rule mining.

Degree: Association rule mining, 2013, Anna University

The process of Knowledge Discovery in Database is aimed at extracting useful information from large databases. Among the several steps of Knowledge Discovery in Databases,… (more)

Subjects/Keywords: Knowledge Discovery; Data mining; Rule mining; Exact association rule

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APA (6th Edition):

S, K. C. (2013). An investigation on automatic support thresholds for association rule mining. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/9847

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

Chicago Manual of Style (16th Edition):

S, Kanimozhiselvi C. “An investigation on automatic support thresholds for association rule mining.” 2013. Thesis, Anna University. Accessed March 19, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/9847.

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

MLA Handbook (7th Edition):

S, Kanimozhiselvi C. “An investigation on automatic support thresholds for association rule mining.” 2013. Web. 19 Mar 2019.

Vancouver:

S KC. An investigation on automatic support thresholds for association rule mining. [Internet] [Thesis]. Anna University; 2013. [cited 2019 Mar 19]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/9847.

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

Council of Science Editors:

S KC. An investigation on automatic support thresholds for association rule mining. [Thesis]. Anna University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/9847

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


Anna University

16. Rajalakshmi, M. Improved algorithmic techniques for mining and privacy preservation of Frequent itemsets; -.

Degree: Information and Communication Engineering, 2014, Anna University

It is but natural to have unprecedented advancements and evolution newlinein the field of database technology as it is the need of the hour to… (more)

Subjects/Keywords: Data mining techniques; Information and Communication engineering; Knowledge Discovery in Databases

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

APA (6th Edition):

Rajalakshmi, M. (2014). Improved algorithmic techniques for mining and privacy preservation of Frequent itemsets; -. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/25275

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

Chicago Manual of Style (16th Edition):

Rajalakshmi, M. “Improved algorithmic techniques for mining and privacy preservation of Frequent itemsets; -.” 2014. Thesis, Anna University. Accessed March 19, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/25275.

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

MLA Handbook (7th Edition):

Rajalakshmi, M. “Improved algorithmic techniques for mining and privacy preservation of Frequent itemsets; -.” 2014. Web. 19 Mar 2019.

Vancouver:

Rajalakshmi M. Improved algorithmic techniques for mining and privacy preservation of Frequent itemsets; -. [Internet] [Thesis]. Anna University; 2014. [cited 2019 Mar 19]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/25275.

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

Council of Science Editors:

Rajalakshmi M. Improved algorithmic techniques for mining and privacy preservation of Frequent itemsets; -. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/25275

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

17. Senthil Vadivu P. Optimized Feature Extraction and Actionable Knowledge Discovery For Customer Relationship Management;.

Degree: 2015, Avinashilingam Deemed University For Women

Recent years are envisaging intense competition in banking sectors and as a consequence, majority of banks are paying more attention on Customer Loyalty Prediction Customer… (more)

Subjects/Keywords: Customer Realtionship Management; Customer Loyalty Assessment; Actionable Knowledge Discovery

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APA (6th Edition):

P, S. V. (2015). Optimized Feature Extraction and Actionable Knowledge Discovery For Customer Relationship Management;. (Thesis). Avinashilingam Deemed University For Women. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/36873

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

Chicago Manual of Style (16th Edition):

P, Senthil Vadivu. “Optimized Feature Extraction and Actionable Knowledge Discovery For Customer Relationship Management;.” 2015. Thesis, Avinashilingam Deemed University For Women. Accessed March 19, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/36873.

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

MLA Handbook (7th Edition):

P, Senthil Vadivu. “Optimized Feature Extraction and Actionable Knowledge Discovery For Customer Relationship Management;.” 2015. Web. 19 Mar 2019.

Vancouver:

P SV. Optimized Feature Extraction and Actionable Knowledge Discovery For Customer Relationship Management;. [Internet] [Thesis]. Avinashilingam Deemed University For Women; 2015. [cited 2019 Mar 19]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/36873.

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

Council of Science Editors:

P SV. Optimized Feature Extraction and Actionable Knowledge Discovery For Customer Relationship Management;. [Thesis]. Avinashilingam Deemed University For Women; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/36873

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

18. Euler, Timm. Knowledge discovery in databases at a conceptual level.

Degree: 2007, Technische Universität Dortmund

Knowledge Discovery in Databases (KDD) is a nontrivial process centered around one or more applications of a Machine Learning algorithm to real world data. Steps… (more)

Subjects/Keywords: Data mining; Data preparation; Datenvorverarbeitung; Knowledge discovery in databases; Wissensentdeckung; 004

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APA (6th Edition):

Euler, T. (2007). Knowledge discovery in databases at a conceptual level. (Thesis). Technische Universität Dortmund. Retrieved from http://hdl.handle.net/2003/24945

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

Chicago Manual of Style (16th Edition):

Euler, Timm. “Knowledge discovery in databases at a conceptual level.” 2007. Thesis, Technische Universität Dortmund. Accessed March 19, 2019. http://hdl.handle.net/2003/24945.

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

MLA Handbook (7th Edition):

Euler, Timm. “Knowledge discovery in databases at a conceptual level.” 2007. Web. 19 Mar 2019.

Vancouver:

Euler T. Knowledge discovery in databases at a conceptual level. [Internet] [Thesis]. Technische Universität Dortmund; 2007. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/2003/24945.

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

Council of Science Editors:

Euler T. Knowledge discovery in databases at a conceptual level. [Thesis]. Technische Universität Dortmund; 2007. Available from: http://hdl.handle.net/2003/24945

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


Addis Ababa University

19. Helen, Tefera Kidane. APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA .

Degree: 2012, Addis Ababa University

Knowledge and understanding of a problem is always the first step in identifying effective solutions. Child labor is both a sign and cause of poverty… (more)

Subjects/Keywords: Data mining; apriori algorithm; association rule; knowledge discovery

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

APA (6th Edition):

Helen, T. K. (2012). APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA . (Thesis). Addis Ababa University. Retrieved from http://etd.aau.edu.et/dspace/handle/123456789/2811

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

Chicago Manual of Style (16th Edition):

Helen, Tefera Kidane. “APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA .” 2012. Thesis, Addis Ababa University. Accessed March 19, 2019. http://etd.aau.edu.et/dspace/handle/123456789/2811.

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

MLA Handbook (7th Edition):

Helen, Tefera Kidane. “APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA .” 2012. Web. 19 Mar 2019.

Vancouver:

Helen TK. APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA . [Internet] [Thesis]. Addis Ababa University; 2012. [cited 2019 Mar 19]. Available from: http://etd.aau.edu.et/dspace/handle/123456789/2811.

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

Council of Science Editors:

Helen TK. APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA . [Thesis]. Addis Ababa University; 2012. Available from: http://etd.aau.edu.et/dspace/handle/123456789/2811

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


Addis Ababa University

20. Tefera, Helen. APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA .

Degree: 2008, Addis Ababa University

Knowledge and understanding of a problem is always the first step in identifying effective solutions. Child labor is both a sign and cause of poverty… (more)

Subjects/Keywords: Data mining; knowledge discovery; association rule; apriori algorithm

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

APA (6th Edition):

Tefera, H. (2008). APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA . (Thesis). Addis Ababa University. Retrieved from http://etd.aau.edu.et/dspace/handle/123456789/2819

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

Chicago Manual of Style (16th Edition):

Tefera, Helen. “APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA .” 2008. Thesis, Addis Ababa University. Accessed March 19, 2019. http://etd.aau.edu.et/dspace/handle/123456789/2819.

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

MLA Handbook (7th Edition):

Tefera, Helen. “APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA .” 2008. Web. 19 Mar 2019.

Vancouver:

Tefera H. APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA . [Internet] [Thesis]. Addis Ababa University; 2008. [cited 2019 Mar 19]. Available from: http://etd.aau.edu.et/dspace/handle/123456789/2819.

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

Council of Science Editors:

Tefera H. APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA . [Thesis]. Addis Ababa University; 2008. Available from: http://etd.aau.edu.et/dspace/handle/123456789/2819

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


University of Canterbury

21. Fukuda, Kyoko. Computer-Enhanced Knowledge Discovery in Environmental Science.

Degree: Mathematics and Statistics, 2009, University of Canterbury

 Encouraging the use of computer algorithms by developing new algorithms and introducing uncommonly known algorithms for use on environmental science problems is a significant contribution,… (more)

Subjects/Keywords: algorithm; attribute selection; data mining; Knowledge Discovery; environmental science problmes

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

APA (6th Edition):

Fukuda, K. (2009). Computer-Enhanced Knowledge Discovery in Environmental Science. (Thesis). University of Canterbury. Retrieved from http://hdl.handle.net/10092/2140

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

Chicago Manual of Style (16th Edition):

Fukuda, Kyoko. “Computer-Enhanced Knowledge Discovery in Environmental Science.” 2009. Thesis, University of Canterbury. Accessed March 19, 2019. http://hdl.handle.net/10092/2140.

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

MLA Handbook (7th Edition):

Fukuda, Kyoko. “Computer-Enhanced Knowledge Discovery in Environmental Science.” 2009. Web. 19 Mar 2019.

Vancouver:

Fukuda K. Computer-Enhanced Knowledge Discovery in Environmental Science. [Internet] [Thesis]. University of Canterbury; 2009. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/10092/2140.

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

Council of Science Editors:

Fukuda K. Computer-Enhanced Knowledge Discovery in Environmental Science. [Thesis]. University of Canterbury; 2009. Available from: http://hdl.handle.net/10092/2140

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


AUT University

22. Verma, Anju. Ontology based personalized modeling for chronic disease risk evaluation and knowledge discovery: an integrated approach .

Degree: 2009, AUT University

 Populations are aging and the prevalence of chronic disease, persisting for many years, is increasing. The most common, non-communicable chronic diseases in developed countries are;… (more)

Subjects/Keywords: Ontology; Knowledge discovery; Chronic disease risk evaluation; Personalized modeling

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APA (6th Edition):

Verma, A. (2009). Ontology based personalized modeling for chronic disease risk evaluation and knowledge discovery: an integrated approach . (Thesis). AUT University. Retrieved from http://hdl.handle.net/10292/784

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

Chicago Manual of Style (16th Edition):

Verma, Anju. “Ontology based personalized modeling for chronic disease risk evaluation and knowledge discovery: an integrated approach .” 2009. Thesis, AUT University. Accessed March 19, 2019. http://hdl.handle.net/10292/784.

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

MLA Handbook (7th Edition):

Verma, Anju. “Ontology based personalized modeling for chronic disease risk evaluation and knowledge discovery: an integrated approach .” 2009. Web. 19 Mar 2019.

Vancouver:

Verma A. Ontology based personalized modeling for chronic disease risk evaluation and knowledge discovery: an integrated approach . [Internet] [Thesis]. AUT University; 2009. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/10292/784.

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

Council of Science Editors:

Verma A. Ontology based personalized modeling for chronic disease risk evaluation and knowledge discovery: an integrated approach . [Thesis]. AUT University; 2009. Available from: http://hdl.handle.net/10292/784

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


Universidade do Minho

23. Portela, Filipe. Pervasive intelligent decision support in critical health care .

Degree: 2013, Universidade do Minho

 Intensive Care Units (ICU) are recognized as being critical environments, due to the fact that patients admitted to these units typically find themselves in situations… (more)

Subjects/Keywords: Pervasive; Decision Support; Intelligent System; Intensive Care; Data Mining; Knowledge Discovery

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

APA (6th Edition):

Portela, F. (2013). Pervasive intelligent decision support in critical health care . (Doctoral Dissertation). Universidade do Minho. Retrieved from http://hdl.handle.net/1822/27792

Chicago Manual of Style (16th Edition):

Portela, Filipe. “Pervasive intelligent decision support in critical health care .” 2013. Doctoral Dissertation, Universidade do Minho. Accessed March 19, 2019. http://hdl.handle.net/1822/27792.

MLA Handbook (7th Edition):

Portela, Filipe. “Pervasive intelligent decision support in critical health care .” 2013. Web. 19 Mar 2019.

Vancouver:

Portela F. Pervasive intelligent decision support in critical health care . [Internet] [Doctoral dissertation]. Universidade do Minho; 2013. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/1822/27792.

Council of Science Editors:

Portela F. Pervasive intelligent decision support in critical health care . [Doctoral Dissertation]. Universidade do Minho; 2013. Available from: http://hdl.handle.net/1822/27792


NSYSU

24. Yeh, Hsiao-pin. Exploring the relationship between student performance and department reputation: An example of PhD programs in business and management departments.

Degree: Master, Information Management, 2006, NSYSU

 If companies want to stand out in the competitive market environment to raise customer awareness, they must understand customersâ requirements, interests, and behaviors. In the… (more)

Subjects/Keywords: Knowledge discovery; department marketing; OLAP

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APA (6th Edition):

Yeh, H. (2006). Exploring the relationship between student performance and department reputation: An example of PhD programs in business and management departments. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0824106-134003

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

Chicago Manual of Style (16th Edition):

Yeh, Hsiao-pin. “Exploring the relationship between student performance and department reputation: An example of PhD programs in business and management departments.” 2006. Thesis, NSYSU. Accessed March 19, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0824106-134003.

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

MLA Handbook (7th Edition):

Yeh, Hsiao-pin. “Exploring the relationship between student performance and department reputation: An example of PhD programs in business and management departments.” 2006. Web. 19 Mar 2019.

Vancouver:

Yeh H. Exploring the relationship between student performance and department reputation: An example of PhD programs in business and management departments. [Internet] [Thesis]. NSYSU; 2006. [cited 2019 Mar 19]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0824106-134003.

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

Council of Science Editors:

Yeh H. Exploring the relationship between student performance and department reputation: An example of PhD programs in business and management departments. [Thesis]. NSYSU; 2006. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0824106-134003

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

25. Benzi, Kirell Maël. From recommender systems to spatio-temporal dynamics with network science.

Degree: 2017, EPFL

 Networks are data structures that are fundamental for capturing and analyzing complex interactions between objects. While they have been used for decades to solve problems… (more)

Subjects/Keywords: network science; data mining; data analytics; knowledge discovery

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

APA (6th Edition):

Benzi, K. M. (2017). From recommender systems to spatio-temporal dynamics with network science. (Thesis). EPFL. Retrieved from http://infoscience.epfl.ch/record/225308

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

Chicago Manual of Style (16th Edition):

Benzi, Kirell Maël. “From recommender systems to spatio-temporal dynamics with network science.” 2017. Thesis, EPFL. Accessed March 19, 2019. http://infoscience.epfl.ch/record/225308.

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

MLA Handbook (7th Edition):

Benzi, Kirell Maël. “From recommender systems to spatio-temporal dynamics with network science.” 2017. Web. 19 Mar 2019.

Vancouver:

Benzi KM. From recommender systems to spatio-temporal dynamics with network science. [Internet] [Thesis]. EPFL; 2017. [cited 2019 Mar 19]. Available from: http://infoscience.epfl.ch/record/225308.

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

Council of Science Editors:

Benzi KM. From recommender systems to spatio-temporal dynamics with network science. [Thesis]. EPFL; 2017. Available from: http://infoscience.epfl.ch/record/225308

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


University of North Texas

26. Hopkins, Mark E. A Study of Physicians' Serendipitous Knowledge Discovery: An Evaluation of Spark and the IF-SKD Model in a Clinical Setting.

Degree: 2018, University of North Texas

 This research study is conducted to test Workman, Fiszman, Rindflesch and Nahl's information flow-serendipitous knowledge discovery (IF-SKD) model of information behavior, in a clinical care… (more)

Subjects/Keywords: Serendipitous Knowledge Discovery; Serendipity; Information Science; IF-SKD; Information Science

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APA (6th Edition):

Hopkins, M. E. (2018). A Study of Physicians' Serendipitous Knowledge Discovery: An Evaluation of Spark and the IF-SKD Model in a Clinical Setting. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1157586/

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

Chicago Manual of Style (16th Edition):

Hopkins, Mark E. “A Study of Physicians' Serendipitous Knowledge Discovery: An Evaluation of Spark and the IF-SKD Model in a Clinical Setting.” 2018. Thesis, University of North Texas. Accessed March 19, 2019. https://digital.library.unt.edu/ark:/67531/metadc1157586/.

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

MLA Handbook (7th Edition):

Hopkins, Mark E. “A Study of Physicians' Serendipitous Knowledge Discovery: An Evaluation of Spark and the IF-SKD Model in a Clinical Setting.” 2018. Web. 19 Mar 2019.

Vancouver:

Hopkins ME. A Study of Physicians' Serendipitous Knowledge Discovery: An Evaluation of Spark and the IF-SKD Model in a Clinical Setting. [Internet] [Thesis]. University of North Texas; 2018. [cited 2019 Mar 19]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1157586/.

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

Council of Science Editors:

Hopkins ME. A Study of Physicians' Serendipitous Knowledge Discovery: An Evaluation of Spark and the IF-SKD Model in a Clinical Setting. [Thesis]. University of North Texas; 2018. Available from: https://digital.library.unt.edu/ark:/67531/metadc1157586/

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


Duke University

27. Duan, Qing. Real-Time and Data-Driven Operation Optimization and Knowledge Discovery for an Enterprise Information System .

Degree: 2014, Duke University

  An enterprise information system (EIS) is an integrated data-applications platform characterized by diverse, heterogeneous, and distributed data sources. For many enterprises, a number of… (more)

Subjects/Keywords: Computer science; data mining; knowledge discovery; machine learning; operation optimization

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APA (6th Edition):

Duan, Q. (2014). Real-Time and Data-Driven Operation Optimization and Knowledge Discovery for an Enterprise Information System . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/9053

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

Chicago Manual of Style (16th Edition):

Duan, Qing. “Real-Time and Data-Driven Operation Optimization and Knowledge Discovery for an Enterprise Information System .” 2014. Thesis, Duke University. Accessed March 19, 2019. http://hdl.handle.net/10161/9053.

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

MLA Handbook (7th Edition):

Duan, Qing. “Real-Time and Data-Driven Operation Optimization and Knowledge Discovery for an Enterprise Information System .” 2014. Web. 19 Mar 2019.

Vancouver:

Duan Q. Real-Time and Data-Driven Operation Optimization and Knowledge Discovery for an Enterprise Information System . [Internet] [Thesis]. Duke University; 2014. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/10161/9053.

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

Council of Science Editors:

Duan Q. Real-Time and Data-Driven Operation Optimization and Knowledge Discovery for an Enterprise Information System . [Thesis]. Duke University; 2014. Available from: http://hdl.handle.net/10161/9053

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

28. Parvinzamir, Farzad. A visual analytics approach for visualisation and knowledge discovery from time-varying personal life data.

Degree: PhD, 2018, University of Bedfordshire

 Today, the importance of big data from lifestyles and work activities has been the focus of much research. At the same time, advances in modern… (more)

Subjects/Keywords: visual analytics; visualisation; knowledge discovery; personal life data; G560 Data Management

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

APA (6th Edition):

Parvinzamir, F. (2018). A visual analytics approach for visualisation and knowledge discovery from time-varying personal life data. (Doctoral Dissertation). University of Bedfordshire. Retrieved from http://hdl.handle.net/10547/622697

Chicago Manual of Style (16th Edition):

Parvinzamir, Farzad. “A visual analytics approach for visualisation and knowledge discovery from time-varying personal life data.” 2018. Doctoral Dissertation, University of Bedfordshire. Accessed March 19, 2019. http://hdl.handle.net/10547/622697.

MLA Handbook (7th Edition):

Parvinzamir, Farzad. “A visual analytics approach for visualisation and knowledge discovery from time-varying personal life data.” 2018. Web. 19 Mar 2019.

Vancouver:

Parvinzamir F. A visual analytics approach for visualisation and knowledge discovery from time-varying personal life data. [Internet] [Doctoral dissertation]. University of Bedfordshire; 2018. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/10547/622697.

Council of Science Editors:

Parvinzamir F. A visual analytics approach for visualisation and knowledge discovery from time-varying personal life data. [Doctoral Dissertation]. University of Bedfordshire; 2018. Available from: http://hdl.handle.net/10547/622697


Open Universiteit Nederland

29. Westbroek, Martijn. A Conceptual Business Intelligence Framework for the Identification, Analysis and Visualization of Container Data Changes and its Impact on Yard Movement .

Degree: 2012, Open Universiteit Nederland

 The number of unproductive handlings (moves) per container visit is one of the key performance indicators used by port terminal management. These additional unproductive moves… (more)

Subjects/Keywords: Business Intelligence; Knowledge Discovery; Yard Movement; Data Changes

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

APA (6th Edition):

Westbroek, M. (2012). A Conceptual Business Intelligence Framework for the Identification, Analysis and Visualization of Container Data Changes and its Impact on Yard Movement . (Masters Thesis). Open Universiteit Nederland. Retrieved from http://hdl.handle.net/1820/4322

Chicago Manual of Style (16th Edition):

Westbroek, Martijn. “A Conceptual Business Intelligence Framework for the Identification, Analysis and Visualization of Container Data Changes and its Impact on Yard Movement .” 2012. Masters Thesis, Open Universiteit Nederland. Accessed March 19, 2019. http://hdl.handle.net/1820/4322.

MLA Handbook (7th Edition):

Westbroek, Martijn. “A Conceptual Business Intelligence Framework for the Identification, Analysis and Visualization of Container Data Changes and its Impact on Yard Movement .” 2012. Web. 19 Mar 2019.

Vancouver:

Westbroek M. A Conceptual Business Intelligence Framework for the Identification, Analysis and Visualization of Container Data Changes and its Impact on Yard Movement . [Internet] [Masters thesis]. Open Universiteit Nederland; 2012. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/1820/4322.

Council of Science Editors:

Westbroek M. A Conceptual Business Intelligence Framework for the Identification, Analysis and Visualization of Container Data Changes and its Impact on Yard Movement . [Masters Thesis]. Open Universiteit Nederland; 2012. Available from: http://hdl.handle.net/1820/4322


Universidade Nova

30. Safronov, Vadym. Trade marketing analytics in consumer goods industry.

Degree: 2017, Universidade Nova

 We address transparency of trade spends in consumer goods industry and propose a set of business performance indicators that follow Pareto (80/20) rule – a… (more)

Subjects/Keywords: Knowledge discovery; Power law; Networks; Consumer goods; Trade marketing.

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

APA (6th Edition):

Safronov, V. (2017). Trade marketing analytics in consumer goods industry. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/22002

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

Chicago Manual of Style (16th Edition):

Safronov, Vadym. “Trade marketing analytics in consumer goods industry.” 2017. Thesis, Universidade Nova. Accessed March 19, 2019. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/22002.

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

MLA Handbook (7th Edition):

Safronov, Vadym. “Trade marketing analytics in consumer goods industry.” 2017. Web. 19 Mar 2019.

Vancouver:

Safronov V. Trade marketing analytics in consumer goods industry. [Internet] [Thesis]. Universidade Nova; 2017. [cited 2019 Mar 19]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/22002.

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

Council of Science Editors:

Safronov V. Trade marketing analytics in consumer goods industry. [Thesis]. Universidade Nova; 2017. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/22002

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

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