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You searched for subject:( en KNOWLEDGE DISCOVERY IN DATABASES). Showing records 1 – 30 of 143289 total matches.

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Anna University

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

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 September 27, 2020. 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. 27 Sep 2020.

Vancouver:

S Aab. Enhancing the performance of Classification algorithms through Dataset tuning feature selection and Exception handling;. [Internet] [Thesis]. Anna University; 2015. [cited 2020 Sep 27]. 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


University of Minnesota

2. Repaka, Ravikanth. Efficiently Storing and Discovering Knowledge in Databases via Inductive Logic Programming Implemented Directly in Databases.

Degree: MS, Computer Science, 2015, University of Minnesota

 Inductive Logic Programming (ILP) uses inductive, statistical techniques to generate hypotheses which incorporate the given background knowledge to induce concepts that cover most of the… (more)

Subjects/Keywords: Databases; Inductive Logic Programming; Knowledge discovery in databases; knowledge store in databases; mutagenesis; chess endgame(KRK); Sequential Covering

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

APA (6th Edition):

Repaka, R. (2015). Efficiently Storing and Discovering Knowledge in Databases via Inductive Logic Programming Implemented Directly in Databases. (Masters Thesis). University of Minnesota. Retrieved from http://hdl.handle.net/11299/191232

Chicago Manual of Style (16th Edition):

Repaka, Ravikanth. “Efficiently Storing and Discovering Knowledge in Databases via Inductive Logic Programming Implemented Directly in Databases.” 2015. Masters Thesis, University of Minnesota. Accessed September 27, 2020. http://hdl.handle.net/11299/191232.

MLA Handbook (7th Edition):

Repaka, Ravikanth. “Efficiently Storing and Discovering Knowledge in Databases via Inductive Logic Programming Implemented Directly in Databases.” 2015. Web. 27 Sep 2020.

Vancouver:

Repaka R. Efficiently Storing and Discovering Knowledge in Databases via Inductive Logic Programming Implemented Directly in Databases. [Internet] [Masters thesis]. University of Minnesota; 2015. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/11299/191232.

Council of Science Editors:

Repaka R. Efficiently Storing and Discovering Knowledge in Databases via Inductive Logic Programming Implemented Directly in Databases. [Masters Thesis]. University of Minnesota; 2015. Available from: http://hdl.handle.net/11299/191232


Anna University

3. 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 (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 September 27, 2020. 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. 27 Sep 2020.

Vancouver:

Rajalakshmi M. Improved algorithmic techniques for mining and privacy preservation of Frequent itemsets; -. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Sep 27]. 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

4. 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 September 27, 2020. 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. 27 Sep 2020.

Vancouver:

Euler T. Knowledge discovery in databases at a conceptual level. [Internet] [Thesis]. Technische Universität Dortmund; 2007. [cited 2020 Sep 27]. 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


Tampere University

5. Habteselassie, Biruk. Application of knowledge discovery in databases : automating manual tasks .

Degree: 2016, Tampere University

 Businesses have large data stored in databases and data warehouses that is beyond the scope of traditional analysis methods. Knowledge discovery in databases (KDD) has… (more)

Subjects/Keywords: knowledge discovery in databases; data mining; business applications; automating manual tasks

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

APA (6th Edition):

Habteselassie, B. (2016). Application of knowledge discovery in databases : automating manual tasks . (Masters Thesis). Tampere University. Retrieved from https://trepo.tuni.fi/handle/10024/100399

Chicago Manual of Style (16th Edition):

Habteselassie, Biruk. “Application of knowledge discovery in databases : automating manual tasks .” 2016. Masters Thesis, Tampere University. Accessed September 27, 2020. https://trepo.tuni.fi/handle/10024/100399.

MLA Handbook (7th Edition):

Habteselassie, Biruk. “Application of knowledge discovery in databases : automating manual tasks .” 2016. Web. 27 Sep 2020.

Vancouver:

Habteselassie B. Application of knowledge discovery in databases : automating manual tasks . [Internet] [Masters thesis]. Tampere University; 2016. [cited 2020 Sep 27]. Available from: https://trepo.tuni.fi/handle/10024/100399.

Council of Science Editors:

Habteselassie B. Application of knowledge discovery in databases : automating manual tasks . [Masters Thesis]. Tampere University; 2016. Available from: https://trepo.tuni.fi/handle/10024/100399


University of Notre Dame

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

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

APA (6th Edition):

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

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):

Regola, Nathan James. “Infrastructure For Big Data</h1>.” 2012. Thesis, University of Notre Dame. Accessed September 27, 2020. https://curate.nd.edu/show/vh53ws87v11.

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

MLA Handbook (7th Edition):

Regola, Nathan James. “Infrastructure For Big Data</h1>.” 2012. Web. 27 Sep 2020.

Vancouver:

Regola NJ. Infrastructure For Big Data</h1>. [Internet] [Thesis]. University of Notre Dame; 2012. [cited 2020 Sep 27]. Available from: https://curate.nd.edu/show/vh53ws87v11.

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

Council of Science Editors:

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

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

7. CHEN SHU. INTERESTINGNESS ENGINE FOR KNOWLEDGE DISCOVERY IN DATABASE.

Degree: 2000, National University of Singapore

Subjects/Keywords: Knowledge discovery in databases; knowledge representation; subjective interestingness; visualization

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

APA (6th Edition):

SHU, C. (2000). INTERESTINGNESS ENGINE FOR KNOWLEDGE DISCOVERY IN DATABASE. (Thesis). National University of Singapore. Retrieved from https://scholarbank.nus.edu.sg/handle/10635/158946

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):

SHU, CHEN. “INTERESTINGNESS ENGINE FOR KNOWLEDGE DISCOVERY IN DATABASE.” 2000. Thesis, National University of Singapore. Accessed September 27, 2020. https://scholarbank.nus.edu.sg/handle/10635/158946.

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

MLA Handbook (7th Edition):

SHU, CHEN. “INTERESTINGNESS ENGINE FOR KNOWLEDGE DISCOVERY IN DATABASE.” 2000. Web. 27 Sep 2020.

Vancouver:

SHU C. INTERESTINGNESS ENGINE FOR KNOWLEDGE DISCOVERY IN DATABASE. [Internet] [Thesis]. National University of Singapore; 2000. [cited 2020 Sep 27]. Available from: https://scholarbank.nus.edu.sg/handle/10635/158946.

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

Council of Science Editors:

SHU C. INTERESTINGNESS ENGINE FOR KNOWLEDGE DISCOVERY IN DATABASE. [Thesis]. National University of Singapore; 2000. Available from: https://scholarbank.nus.edu.sg/handle/10635/158946

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

8. CHEN SHU. INTERESTINGNESS ENGINE FOR KNOWLEDGE DISCOVERY IN DATABASE.

Degree: 2000, National University of Singapore

Subjects/Keywords: Knowledge discovery in databases; knowledge representation; subjective interestingness; visualization

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

APA (6th Edition):

SHU, C. (2000). INTERESTINGNESS ENGINE FOR KNOWLEDGE DISCOVERY IN DATABASE. (Thesis). National University of Singapore. Retrieved from https://scholarbank.nus.edu.sg/handle/10635/160260

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):

SHU, CHEN. “INTERESTINGNESS ENGINE FOR KNOWLEDGE DISCOVERY IN DATABASE.” 2000. Thesis, National University of Singapore. Accessed September 27, 2020. https://scholarbank.nus.edu.sg/handle/10635/160260.

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

MLA Handbook (7th Edition):

SHU, CHEN. “INTERESTINGNESS ENGINE FOR KNOWLEDGE DISCOVERY IN DATABASE.” 2000. Web. 27 Sep 2020.

Vancouver:

SHU C. INTERESTINGNESS ENGINE FOR KNOWLEDGE DISCOVERY IN DATABASE. [Internet] [Thesis]. National University of Singapore; 2000. [cited 2020 Sep 27]. Available from: https://scholarbank.nus.edu.sg/handle/10635/160260.

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

Council of Science Editors:

SHU C. INTERESTINGNESS ENGINE FOR KNOWLEDGE DISCOVERY IN DATABASE. [Thesis]. National University of Singapore; 2000. Available from: https://scholarbank.nus.edu.sg/handle/10635/160260

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

9. Wallin, Lisa. AI-supported bridge tendering .

Degree: Chalmers tekniska högskola / Institutionen för teknikens ekonomi och organisation, 2020, Chalmers University of Technology

 The tender process is an important part of the construction industry where most projects are procured using a competitive tender. A tender bid is costly… (more)

Subjects/Keywords: Data Transfer; Data-Information-Knowledge-Wisdom,; Knowledge Discovery in Databases; Neural Network Model; Construction Industry; Tendering; Trafikverket

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APA (6th Edition):

Wallin, L. (2020). AI-supported bridge tendering . (Thesis). Chalmers University of Technology. Retrieved from http://hdl.handle.net/20.500.12380/300938

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):

Wallin, Lisa. “AI-supported bridge tendering .” 2020. Thesis, Chalmers University of Technology. Accessed September 27, 2020. http://hdl.handle.net/20.500.12380/300938.

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

MLA Handbook (7th Edition):

Wallin, Lisa. “AI-supported bridge tendering .” 2020. Web. 27 Sep 2020.

Vancouver:

Wallin L. AI-supported bridge tendering . [Internet] [Thesis]. Chalmers University of Technology; 2020. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/20.500.12380/300938.

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

Council of Science Editors:

Wallin L. AI-supported bridge tendering . [Thesis]. Chalmers University of Technology; 2020. Available from: http://hdl.handle.net/20.500.12380/300938

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

10. Lamark dos Santos Ribeiro. Uma abordagem semântica para seleção de atributos no processo de KDD.

Degree: 2010, Universidade Federal da Paraíba

Atualmente, dois temas de grande importância para a computação, estão sendo utilizados conjuntamente de uma forma cada vez mais aparente: a Descoberta de Conhecimento em… (more)

Subjects/Keywords: Knowledge Discovery in Databases; Attributes Selection; Descoberta de Conhecimento em Banco de Dados; Seleção de Atributos; Ontologias; CIENCIA DA COMPUTACAO; Ontologies

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APA (6th Edition):

Ribeiro, L. d. S. (2010). Uma abordagem semântica para seleção de atributos no processo de KDD. (Thesis). Universidade Federal da Paraíba. Retrieved from http://bdtd.biblioteca.ufpb.br/tde_busca/arquivo.php?codArquivo=1723

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):

Ribeiro, Lamark dos Santos. “Uma abordagem semântica para seleção de atributos no processo de KDD.” 2010. Thesis, Universidade Federal da Paraíba. Accessed September 27, 2020. http://bdtd.biblioteca.ufpb.br/tde_busca/arquivo.php?codArquivo=1723.

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

MLA Handbook (7th Edition):

Ribeiro, Lamark dos Santos. “Uma abordagem semântica para seleção de atributos no processo de KDD.” 2010. Web. 27 Sep 2020.

Vancouver:

Ribeiro LdS. Uma abordagem semântica para seleção de atributos no processo de KDD. [Internet] [Thesis]. Universidade Federal da Paraíba; 2010. [cited 2020 Sep 27]. Available from: http://bdtd.biblioteca.ufpb.br/tde_busca/arquivo.php?codArquivo=1723.

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

Council of Science Editors:

Ribeiro LdS. Uma abordagem semântica para seleção de atributos no processo de KDD. [Thesis]. Universidade Federal da Paraíba; 2010. Available from: http://bdtd.biblioteca.ufpb.br/tde_busca/arquivo.php?codArquivo=1723

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

11. Shiba, Sonia Kaoru. Modelagem de processo de extração de conhecimento em banco de dados para sistemas de suporte à decisão.

Degree: Mestrado, Sistemas Eletrônicos, 2008, University of São Paulo

Este trabalho apresenta a modelagem de um processo de extração de conhecimento, onde a aquisição de informações para a análise de dados têm como origem… (more)

Subjects/Keywords: Banco de dados orientado a objetos; Conhecimento (modelagem); Data mining; Knowledge discovery in databases; Teoria da decisão (inferência estatística)

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

APA (6th Edition):

Shiba, S. K. (2008). Modelagem de processo de extração de conhecimento em banco de dados para sistemas de suporte à decisão. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/3/3142/tde-02102008-173336/ ;

Chicago Manual of Style (16th Edition):

Shiba, Sonia Kaoru. “Modelagem de processo de extração de conhecimento em banco de dados para sistemas de suporte à decisão.” 2008. Masters Thesis, University of São Paulo. Accessed September 27, 2020. http://www.teses.usp.br/teses/disponiveis/3/3142/tde-02102008-173336/ ;.

MLA Handbook (7th Edition):

Shiba, Sonia Kaoru. “Modelagem de processo de extração de conhecimento em banco de dados para sistemas de suporte à decisão.” 2008. Web. 27 Sep 2020.

Vancouver:

Shiba SK. Modelagem de processo de extração de conhecimento em banco de dados para sistemas de suporte à decisão. [Internet] [Masters thesis]. University of São Paulo; 2008. [cited 2020 Sep 27]. Available from: http://www.teses.usp.br/teses/disponiveis/3/3142/tde-02102008-173336/ ;.

Council of Science Editors:

Shiba SK. Modelagem de processo de extração de conhecimento em banco de dados para sistemas de suporte à decisão. [Masters Thesis]. University of São Paulo; 2008. Available from: http://www.teses.usp.br/teses/disponiveis/3/3142/tde-02102008-173336/ ;

12. Romani, Luciana Alvim Santos. Integrando mineração de séries temporais e fractais para encontrar padrões e eventos extremos em bases de dados climáticas e de sensoriamento remoto.

Degree: PhD, Ciências de Computação e Matemática Computacional, 2010, University of São Paulo

Esta tese apresenta novos metodos baseados na teoria dos fractais e em tecnicas de mineração de dados para dar suporte ao monitoramento agrícola em escala… (more)

Subjects/Keywords: Climate change; Data mining; Descoberta de conhecimento em bases de dados; Knowledge discovery in databases; Mineração de dados; Mudanças climáticas

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

APA (6th Edition):

Romani, L. A. S. (2010). Integrando mineração de séries temporais e fractais para encontrar padrões e eventos extremos em bases de dados climáticas e de sensoriamento remoto. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55134/tde-19012011-162251/ ;

Chicago Manual of Style (16th Edition):

Romani, Luciana Alvim Santos. “Integrando mineração de séries temporais e fractais para encontrar padrões e eventos extremos em bases de dados climáticas e de sensoriamento remoto.” 2010. Doctoral Dissertation, University of São Paulo. Accessed September 27, 2020. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-19012011-162251/ ;.

MLA Handbook (7th Edition):

Romani, Luciana Alvim Santos. “Integrando mineração de séries temporais e fractais para encontrar padrões e eventos extremos em bases de dados climáticas e de sensoriamento remoto.” 2010. Web. 27 Sep 2020.

Vancouver:

Romani LAS. Integrando mineração de séries temporais e fractais para encontrar padrões e eventos extremos em bases de dados climáticas e de sensoriamento remoto. [Internet] [Doctoral dissertation]. University of São Paulo; 2010. [cited 2020 Sep 27]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-19012011-162251/ ;.

Council of Science Editors:

Romani LAS. Integrando mineração de séries temporais e fractais para encontrar padrões e eventos extremos em bases de dados climáticas e de sensoriamento remoto. [Doctoral Dissertation]. University of São Paulo; 2010. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-19012011-162251/ ;


Universidade Presbiteriana Mackenzie

13. Marcelo Pires Fernandes. Descoberta de conhecimento em bases de dados e estratégias de relacionamento com clientes: um estudo no setor de serviços.

Degree: 2008, Universidade Presbiteriana Mackenzie

O problema de pesquisa a ser investigado está associado ao modo como empresas do setor de serviços utilizam bases de dados para descobrir conhecimento sobre… (more)

Subjects/Keywords: ADMINISTRACAO; estratégias de relacionamento; descoberta de conhecimento em bases; mineração de dados; relationship strategies; knowledge discovery in databases; data mining

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APA (6th Edition):

Fernandes, M. P. (2008). Descoberta de conhecimento em bases de dados e estratégias de relacionamento com clientes: um estudo no setor de serviços. (Thesis). Universidade Presbiteriana Mackenzie. Retrieved from http://tede.mackenzie.com.br//tde_busca/arquivo.php?codArquivo=702

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):

Fernandes, Marcelo Pires. “Descoberta de conhecimento em bases de dados e estratégias de relacionamento com clientes: um estudo no setor de serviços.” 2008. Thesis, Universidade Presbiteriana Mackenzie. Accessed September 27, 2020. http://tede.mackenzie.com.br//tde_busca/arquivo.php?codArquivo=702.

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

MLA Handbook (7th Edition):

Fernandes, Marcelo Pires. “Descoberta de conhecimento em bases de dados e estratégias de relacionamento com clientes: um estudo no setor de serviços.” 2008. Web. 27 Sep 2020.

Vancouver:

Fernandes MP. Descoberta de conhecimento em bases de dados e estratégias de relacionamento com clientes: um estudo no setor de serviços. [Internet] [Thesis]. Universidade Presbiteriana Mackenzie; 2008. [cited 2020 Sep 27]. Available from: http://tede.mackenzie.com.br//tde_busca/arquivo.php?codArquivo=702.

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

Council of Science Editors:

Fernandes MP. Descoberta de conhecimento em bases de dados e estratégias de relacionamento com clientes: um estudo no setor de serviços. [Thesis]. Universidade Presbiteriana Mackenzie; 2008. Available from: http://tede.mackenzie.com.br//tde_busca/arquivo.php?codArquivo=702

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

14. Kositer, Andrej. Pridobivanje znanja iz podatkov o aktivnostih nevladnih organizacij z metodo podatkovnega rudarjenja.

Degree: 2016, Univerza v Mariboru

Delovanje podjetij (predvsem globalnih) vedno večkrat vpliva na družbeno aktualne teme trajnostnega razvoja, vpliva na okolje/naravo, varstvo okolja, družbeno pravičnost, razporejanje dodane vrednosti in dobička… (more)

Subjects/Keywords: podatkovno rudarjenje odkrivanje znanja v podatkovnih bazah delovanje nevladnih organizacij; data mining knowledge discovery in databases operation of NGOs

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

APA (6th Edition):

Kositer, A. (2016). Pridobivanje znanja iz podatkov o aktivnostih nevladnih organizacij z metodo podatkovnega rudarjenja. (Masters Thesis). Univerza v Mariboru. Retrieved from https://dk.um.si/IzpisGradiva.php?id=59209 ; https://dk.um.si/Dokument.php?id=91173&dn= ; https://plus.si.cobiss.net/opac7/bib/7820819?lang=sl

Chicago Manual of Style (16th Edition):

Kositer, Andrej. “Pridobivanje znanja iz podatkov o aktivnostih nevladnih organizacij z metodo podatkovnega rudarjenja.” 2016. Masters Thesis, Univerza v Mariboru. Accessed September 27, 2020. https://dk.um.si/IzpisGradiva.php?id=59209 ; https://dk.um.si/Dokument.php?id=91173&dn= ; https://plus.si.cobiss.net/opac7/bib/7820819?lang=sl.

MLA Handbook (7th Edition):

Kositer, Andrej. “Pridobivanje znanja iz podatkov o aktivnostih nevladnih organizacij z metodo podatkovnega rudarjenja.” 2016. Web. 27 Sep 2020.

Vancouver:

Kositer A. Pridobivanje znanja iz podatkov o aktivnostih nevladnih organizacij z metodo podatkovnega rudarjenja. [Internet] [Masters thesis]. Univerza v Mariboru; 2016. [cited 2020 Sep 27]. Available from: https://dk.um.si/IzpisGradiva.php?id=59209 ; https://dk.um.si/Dokument.php?id=91173&dn= ; https://plus.si.cobiss.net/opac7/bib/7820819?lang=sl.

Council of Science Editors:

Kositer A. Pridobivanje znanja iz podatkov o aktivnostih nevladnih organizacij z metodo podatkovnega rudarjenja. [Masters Thesis]. Univerza v Mariboru; 2016. Available from: https://dk.um.si/IzpisGradiva.php?id=59209 ; https://dk.um.si/Dokument.php?id=91173&dn= ; https://plus.si.cobiss.net/opac7/bib/7820819?lang=sl


Brno University of Technology

15. Melichar, Ladislav. Získávání znalostí z databází: Knowledge Data Discovery.

Degree: 2019, Brno University of Technology

 The data mining is still little investigated area. This project is aimed firstly generally to the knowledge discovery from the structured data, especially from the… (more)

Subjects/Keywords: Získávání znalostí z databází; dolování dat; XML; DTD; HybridTreeMiner; Java; Knowledge discovery in databases; data mining; XML; DTD; HybridTreeMiner; Java

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

APA (6th Edition):

Melichar, L. (2019). Získávání znalostí z databází: Knowledge Data Discovery. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/53260

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):

Melichar, Ladislav. “Získávání znalostí z databází: Knowledge Data Discovery.” 2019. Thesis, Brno University of Technology. Accessed September 27, 2020. http://hdl.handle.net/11012/53260.

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

MLA Handbook (7th Edition):

Melichar, Ladislav. “Získávání znalostí z databází: Knowledge Data Discovery.” 2019. Web. 27 Sep 2020.

Vancouver:

Melichar L. Získávání znalostí z databází: Knowledge Data Discovery. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/11012/53260.

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

Council of Science Editors:

Melichar L. Získávání znalostí z databází: Knowledge Data Discovery. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/53260

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


Brno University of Technology

16. Melichar, Ladislav. Získávání znalostí z databází: Knowledge Data Discovery.

Degree: 2020, Brno University of Technology

 The data mining is still little investigated area. This project is aimed firstly generally to the knowledge discovery from the structured data, especially from the… (more)

Subjects/Keywords: Získávání znalostí z databází; dolování dat; XML; DTD; HybridTreeMiner; Java; Knowledge discovery in databases; data mining; XML; DTD; HybridTreeMiner; Java

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

APA (6th Edition):

Melichar, L. (2020). Získávání znalostí z databází: Knowledge Data Discovery. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/188658

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):

Melichar, Ladislav. “Získávání znalostí z databází: Knowledge Data Discovery.” 2020. Thesis, Brno University of Technology. Accessed September 27, 2020. http://hdl.handle.net/11012/188658.

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

MLA Handbook (7th Edition):

Melichar, Ladislav. “Získávání znalostí z databází: Knowledge Data Discovery.” 2020. Web. 27 Sep 2020.

Vancouver:

Melichar L. Získávání znalostí z databází: Knowledge Data Discovery. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/11012/188658.

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

Council of Science Editors:

Melichar L. Získávání znalostí z databází: Knowledge Data Discovery. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/188658

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


Pontifical Catholic University of Rio de Janeiro

17. NORMA ALICE DA SILVA CARVALHO. [en] HYBRID INTELLIGENT SYSTEM FOR CLASSIFICATION OF NON-RESIDENTIAL ELECTRICITY CUSTOMERS PAYMENT PROFILES.

Degree: 2018, Pontifical Catholic University of Rio de Janeiro

[pt] O objetivo desta pesquisa é classificar o perfil de pagamento dos consumidores não-residenciais de energia elétrica, considerando conhecimento armazenado em base de dados de… (more)

Subjects/Keywords: [pt] MAPAS AUTO-ORGANIZAVEIS DE KOHONEN; [en] KOHONEN SELF-ORGANIZED MAP; [pt] INADIMPLENCIA; [en] NON-PAYMENT LATE PAYMENT; [pt] SISTEMAS DE DISTRIBUICAO DE ENERGIA ELETRICA; [en] ELECTRIC POWER DISTRIBUTION SYSTEMS; [pt] BUSCA DE CONHECIMENTO EM BASE DE DADOS; [en] KNOWLEDGE DISCOVERY IN DATABASES; [pt] CLASSIFICADOR BAYESIANO SIMPLES; [en] NAIVE BAYES

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

APA (6th Edition):

CARVALHO, N. A. D. S. (2018). [en] HYBRID INTELLIGENT SYSTEM FOR CLASSIFICATION OF NON-RESIDENTIAL ELECTRICITY CUSTOMERS PAYMENT PROFILES. (Thesis). Pontifical Catholic University of Rio de Janeiro. Retrieved from http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=33393

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):

CARVALHO, NORMA ALICE DA SILVA. “[en] HYBRID INTELLIGENT SYSTEM FOR CLASSIFICATION OF NON-RESIDENTIAL ELECTRICITY CUSTOMERS PAYMENT PROFILES.” 2018. Thesis, Pontifical Catholic University of Rio de Janeiro. Accessed September 27, 2020. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=33393.

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

MLA Handbook (7th Edition):

CARVALHO, NORMA ALICE DA SILVA. “[en] HYBRID INTELLIGENT SYSTEM FOR CLASSIFICATION OF NON-RESIDENTIAL ELECTRICITY CUSTOMERS PAYMENT PROFILES.” 2018. Web. 27 Sep 2020.

Vancouver:

CARVALHO NADS. [en] HYBRID INTELLIGENT SYSTEM FOR CLASSIFICATION OF NON-RESIDENTIAL ELECTRICITY CUSTOMERS PAYMENT PROFILES. [Internet] [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2018. [cited 2020 Sep 27]. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=33393.

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

Council of Science Editors:

CARVALHO NADS. [en] HYBRID INTELLIGENT SYSTEM FOR CLASSIFICATION OF NON-RESIDENTIAL ELECTRICITY CUSTOMERS PAYMENT PROFILES. [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2018. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=33393

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

18. Almeida, José António Dias Correia de. Análise de eficiência energética de transportes rodoviários.

Degree: 2013, Repositório Científico do Instituto Politécnico de Lisboa

Projecto para obtenção do grau de Mestre em Engenharia Informática e de computadores

A operação de sistemas de transporte público rodoviário em ambiente urbano de… (more)

Subjects/Keywords: Extracção de conhecimento; Transportes públicos rodoviários; Autocarros; Armazém de dados; Extracção de Conhecimento de dados; Padrões; Knowledge discovery in databases; Public transportation; Buses; Data warehouse; Data mining; Knowledge; Patterns

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

APA (6th Edition):

Almeida, J. A. D. C. d. (2013). Análise de eficiência energética de transportes rodoviários. (Thesis). Repositório Científico do Instituto Politécnico de Lisboa. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/3201

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):

Almeida, José António Dias Correia de. “Análise de eficiência energética de transportes rodoviários.” 2013. Thesis, Repositório Científico do Instituto Politécnico de Lisboa. Accessed September 27, 2020. http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/3201.

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

MLA Handbook (7th Edition):

Almeida, José António Dias Correia de. “Análise de eficiência energética de transportes rodoviários.” 2013. Web. 27 Sep 2020.

Vancouver:

Almeida JADCd. Análise de eficiência energética de transportes rodoviários. [Internet] [Thesis]. Repositório Científico do Instituto Politécnico de Lisboa; 2013. [cited 2020 Sep 27]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/3201.

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

Council of Science Editors:

Almeida JADCd. Análise de eficiência energética de transportes rodoviários. [Thesis]. Repositório Científico do Instituto Politécnico de Lisboa; 2013. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/3201

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

19. Alexandre Gabriel Cancian Sobrinho. Perfis de alto desempenho : uma proposta de avaliação.

Degree: 2009, Universidade Católica de Brasilia

Nas empresas modernas a busca por funcionários mais adequados às suas neces-sidades e que tenham um perfil de alto desempenho levou ao desenvolvimento e aprimoramento… (more)

Subjects/Keywords: pessoal avaliação; avaliação de comportamento; banco de dados; gestão do conhecimento; CIENCIA DA INFORMACAO; psychological tests; performance management; mbti; disc, knowledge discovery in databases; CIENCIA DA INFORMACAO

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

APA (6th Edition):

Sobrinho, A. G. C. (2009). Perfis de alto desempenho : uma proposta de avaliação. (Masters Thesis). Universidade Católica de Brasilia. Retrieved from http://www.bdtd.ucb.br/tede/tde_busca/arquivo.php?codArquivo=1628

Chicago Manual of Style (16th Edition):

Sobrinho, Alexandre Gabriel Cancian. “Perfis de alto desempenho : uma proposta de avaliação.” 2009. Masters Thesis, Universidade Católica de Brasilia. Accessed September 27, 2020. http://www.bdtd.ucb.br/tede/tde_busca/arquivo.php?codArquivo=1628.

MLA Handbook (7th Edition):

Sobrinho, Alexandre Gabriel Cancian. “Perfis de alto desempenho : uma proposta de avaliação.” 2009. Web. 27 Sep 2020.

Vancouver:

Sobrinho AGC. Perfis de alto desempenho : uma proposta de avaliação. [Internet] [Masters thesis]. Universidade Católica de Brasilia; 2009. [cited 2020 Sep 27]. Available from: http://www.bdtd.ucb.br/tede/tde_busca/arquivo.php?codArquivo=1628.

Council of Science Editors:

Sobrinho AGC. Perfis de alto desempenho : uma proposta de avaliação. [Masters Thesis]. Universidade Católica de Brasilia; 2009. Available from: http://www.bdtd.ucb.br/tede/tde_busca/arquivo.php?codArquivo=1628

20. Ricardo Akl Lasmar de Alvarenga. Caracterização de competitividade de pregões eletrônicos por meio de mineração de dados.

Degree: 2011, Universidade Católica de Brasilia

A Controladoria Geral da União (CGU) possui autonomia para fiscalizar os proces-sos de compras dos órgãos do Governo Federal brasileiro, punir os fraudadores e prevenir… (more)

Subjects/Keywords: pregão; licitação pública; fraude; tecnologia da informação; gestão do conhecimento; CIENCIA DA INFORMACAO; knowledge discovery in databases; collusion; fraud detection; government procurement; electronic trading; CIENCIA DA INFORMACAO

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

APA (6th Edition):

Alvarenga, R. A. L. d. (2011). Caracterização de competitividade de pregões eletrônicos por meio de mineração de dados. (Masters Thesis). Universidade Católica de Brasilia. Retrieved from http://www.bdtd.ucb.br/tede/tde_busca/arquivo.php?codArquivo=1528

Chicago Manual of Style (16th Edition):

Alvarenga, Ricardo Akl Lasmar de. “Caracterização de competitividade de pregões eletrônicos por meio de mineração de dados.” 2011. Masters Thesis, Universidade Católica de Brasilia. Accessed September 27, 2020. http://www.bdtd.ucb.br/tede/tde_busca/arquivo.php?codArquivo=1528.

MLA Handbook (7th Edition):

Alvarenga, Ricardo Akl Lasmar de. “Caracterização de competitividade de pregões eletrônicos por meio de mineração de dados.” 2011. Web. 27 Sep 2020.

Vancouver:

Alvarenga RALd. Caracterização de competitividade de pregões eletrônicos por meio de mineração de dados. [Internet] [Masters thesis]. Universidade Católica de Brasilia; 2011. [cited 2020 Sep 27]. Available from: http://www.bdtd.ucb.br/tede/tde_busca/arquivo.php?codArquivo=1528.

Council of Science Editors:

Alvarenga RALd. Caracterização de competitividade de pregões eletrônicos por meio de mineração de dados. [Masters Thesis]. Universidade Católica de Brasilia; 2011. Available from: http://www.bdtd.ucb.br/tede/tde_busca/arquivo.php?codArquivo=1528


University of South Africa

21. Barth, Kirstin. An analysis of semantic data quality defiencies in a national data warehouse: a data mining approach .

Degree: 2018, University of South Africa

 This research determines whether data quality mining can be used to describe, monitor and evaluate the scope and impact of semantic data quality problems in… (more)

Subjects/Keywords: Data warehouse; Data mining; Data quality mining; Exploratory data mining; Cluster analysis; Association rule; Knowledge discovery in databases; National Learners’ Records Database; Learner enrolment data; Semantic data quality deficiencies

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

APA (6th Edition):

Barth, K. (2018). An analysis of semantic data quality defiencies in a national data warehouse: a data mining approach . (Masters Thesis). University of South Africa. Retrieved from http://hdl.handle.net/10500/25576

Chicago Manual of Style (16th Edition):

Barth, Kirstin. “An analysis of semantic data quality defiencies in a national data warehouse: a data mining approach .” 2018. Masters Thesis, University of South Africa. Accessed September 27, 2020. http://hdl.handle.net/10500/25576.

MLA Handbook (7th Edition):

Barth, Kirstin. “An analysis of semantic data quality defiencies in a national data warehouse: a data mining approach .” 2018. Web. 27 Sep 2020.

Vancouver:

Barth K. An analysis of semantic data quality defiencies in a national data warehouse: a data mining approach . [Internet] [Masters thesis]. University of South Africa; 2018. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/10500/25576.

Council of Science Editors:

Barth K. An analysis of semantic data quality defiencies in a national data warehouse: a data mining approach . [Masters Thesis]. University of South Africa; 2018. Available from: http://hdl.handle.net/10500/25576

22. AMARAL, Marcelo Gomes do. Mineração de dados aplicada à classificação do risco de evasão de discentes ingressantes em instituições federais de ensino superior .

Degree: 2016, Universidade Federal de Pernambuco

 As Instituições Federais de Ensino Superior (IFES) possuem um importante papel no desenvolvimento social e econômico do país, contribuindo para o avanço tecnológico e cientifico… (more)

Subjects/Keywords: Descoberta de Conhecimento em Bancos de Dados; Mineração de Dados Educacionais; Algoritmos de Classificação; Knowledge Discovery in Databases; Educational Data Mining; Classification Algorithms

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

APA (6th Edition):

AMARAL, M. G. d. (2016). Mineração de dados aplicada à classificação do risco de evasão de discentes ingressantes em instituições federais de ensino superior . (Thesis). Universidade Federal de Pernambuco. Retrieved from https://repositorio.ufpe.br/handle/123456789/19502

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):

AMARAL, Marcelo Gomes do. “Mineração de dados aplicada à classificação do risco de evasão de discentes ingressantes em instituições federais de ensino superior .” 2016. Thesis, Universidade Federal de Pernambuco. Accessed September 27, 2020. https://repositorio.ufpe.br/handle/123456789/19502.

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

MLA Handbook (7th Edition):

AMARAL, Marcelo Gomes do. “Mineração de dados aplicada à classificação do risco de evasão de discentes ingressantes em instituições federais de ensino superior .” 2016. Web. 27 Sep 2020.

Vancouver:

AMARAL MGd. Mineração de dados aplicada à classificação do risco de evasão de discentes ingressantes em instituições federais de ensino superior . [Internet] [Thesis]. Universidade Federal de Pernambuco; 2016. [cited 2020 Sep 27]. Available from: https://repositorio.ufpe.br/handle/123456789/19502.

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

Council of Science Editors:

AMARAL MGd. Mineração de dados aplicada à classificação do risco de evasão de discentes ingressantes em instituições federais de ensino superior . [Thesis]. Universidade Federal de Pernambuco; 2016. Available from: https://repositorio.ufpe.br/handle/123456789/19502

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

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

Degree: 2008, 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: Knowledge discovery in databases; Data preparation; Data mining; Wissensentdeckung; Datenvorverarbeitung; 004

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

APA (6th Edition):

Euler, T. (2008). Knowledge discovery in databases at a conceptual level. (Doctoral Dissertation). Technische Universität Dortmund. Retrieved from http://dx.doi.org/10.17877/DE290R-244

Chicago Manual of Style (16th Edition):

Euler, Timm. “Knowledge discovery in databases at a conceptual level.” 2008. Doctoral Dissertation, Technische Universität Dortmund. Accessed September 27, 2020. http://dx.doi.org/10.17877/DE290R-244.

MLA Handbook (7th Edition):

Euler, Timm. “Knowledge discovery in databases at a conceptual level.” 2008. Web. 27 Sep 2020.

Vancouver:

Euler T. Knowledge discovery in databases at a conceptual level. [Internet] [Doctoral dissertation]. Technische Universität Dortmund; 2008. [cited 2020 Sep 27]. Available from: http://dx.doi.org/10.17877/DE290R-244.

Council of Science Editors:

Euler T. Knowledge discovery in databases at a conceptual level. [Doctoral Dissertation]. Technische Universität Dortmund; 2008. Available from: http://dx.doi.org/10.17877/DE290R-244


Brno University of Technology

24. Trunkát, Jan. Metody měření úspěšnosti dolování dat: Success Rate Measure Methods in Data Mining.

Degree: 2020, Brno University of Technology

 The Bachelor thesis is aimed at success rate measure methods in data mining in the area of clustering. It introduces the basic concepts, features of… (more)

Subjects/Keywords: dolování dat; získávání znalostí z databází; shlukování; shluková analýza; shluk; shlukovací metody; data mining; knowledge Discovery in Databases; clustering; cluster analysis; cluster; clustering methods

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

APA (6th Edition):

Trunkát, J. (2020). Metody měření úspěšnosti dolování dat: Success Rate Measure Methods in Data Mining. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/190003

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):

Trunkát, Jan. “Metody měření úspěšnosti dolování dat: Success Rate Measure Methods in Data Mining.” 2020. Thesis, Brno University of Technology. Accessed September 27, 2020. http://hdl.handle.net/11012/190003.

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

MLA Handbook (7th Edition):

Trunkát, Jan. “Metody měření úspěšnosti dolování dat: Success Rate Measure Methods in Data Mining.” 2020. Web. 27 Sep 2020.

Vancouver:

Trunkát J. Metody měření úspěšnosti dolování dat: Success Rate Measure Methods in Data Mining. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/11012/190003.

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

Council of Science Editors:

Trunkát J. Metody měření úspěšnosti dolování dat: Success Rate Measure Methods in Data Mining. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/190003

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


Brno University of Technology

25. Kuzma, Norbert. Klasifikační dolovací moduly systému pro dolování z dat na platformě NetBeans: Classification Mining Modules of Data Mining System on NetBeans Platform.

Degree: 2019, Brno University of Technology

 This bachelor thesis deals with the data mining and the creation of data mining unit for data mining system, which is beeing developed at FIT.… (more)

Subjects/Keywords: Získávání znalostí z databází; dolování z dat; modul; klasifikace; backpropagation; neuronové sítě; Java; NetBeans.; Knowledge discovery in databases; data mining; module; classification; neural network; backpropagation; Java; NetBeans.

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

APA (6th Edition):

Kuzma, N. (2019). Klasifikační dolovací moduly systému pro dolování z dat na platformě NetBeans: Classification Mining Modules of Data Mining System on NetBeans Platform. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/55904

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):

Kuzma, Norbert. “Klasifikační dolovací moduly systému pro dolování z dat na platformě NetBeans: Classification Mining Modules of Data Mining System on NetBeans Platform.” 2019. Thesis, Brno University of Technology. Accessed September 27, 2020. http://hdl.handle.net/11012/55904.

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

MLA Handbook (7th Edition):

Kuzma, Norbert. “Klasifikační dolovací moduly systému pro dolování z dat na platformě NetBeans: Classification Mining Modules of Data Mining System on NetBeans Platform.” 2019. Web. 27 Sep 2020.

Vancouver:

Kuzma N. Klasifikační dolovací moduly systému pro dolování z dat na platformě NetBeans: Classification Mining Modules of Data Mining System on NetBeans Platform. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/11012/55904.

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

Council of Science Editors:

Kuzma N. Klasifikační dolovací moduly systému pro dolování z dat na platformě NetBeans: Classification Mining Modules of Data Mining System on NetBeans Platform. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/55904

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


Brno University of Technology

26. Kučera, Petr. Meta-učení v oblasti dolování dat: Meta-Learning in the Area of Data Mining.

Degree: 2019, Brno University of Technology

 This paper describes the use of meta-learning in the area of data mining. It describes the problems and tasks of data mining where meta-learning can… (more)

Subjects/Keywords: dolování dat; získávání znalostí z databází; meta-učení; výběr modelu; klasifikace; statlog; metal; data mining; knowledge discovery in databases; meta-learning; model selection; classification; statlog; metal

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

APA (6th Edition):

Kučera, P. (2019). Meta-učení v oblasti dolování dat: Meta-Learning in the Area of Data Mining. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/53456

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):

Kučera, Petr. “Meta-učení v oblasti dolování dat: Meta-Learning in the Area of Data Mining.” 2019. Thesis, Brno University of Technology. Accessed September 27, 2020. http://hdl.handle.net/11012/53456.

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

MLA Handbook (7th Edition):

Kučera, Petr. “Meta-učení v oblasti dolování dat: Meta-Learning in the Area of Data Mining.” 2019. Web. 27 Sep 2020.

Vancouver:

Kučera P. Meta-učení v oblasti dolování dat: Meta-Learning in the Area of Data Mining. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/11012/53456.

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

Council of Science Editors:

Kučera P. Meta-učení v oblasti dolování dat: Meta-Learning in the Area of Data Mining. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/53456

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

27. Kaytoue, Mehdi. Traitement de données numériques par analyse formelle de concepts et structures de patrons : Mining numerical data with formal concept analysis and pattern structures.

Degree: Docteur es, Informatique, 2011, Université Henri Poincaré – Nancy I

Le sujet principal de cette thèse porte sur la fouille de données numériques et plus particulièrement de données d'expression de gènes. Ces données caractérisent le… (more)

Subjects/Keywords: Découverte de connaissances; Analyse formelle de concepts; Extraction de motifs numériques; Bi-clustering; Fusion d'information; Knowledge discovery in databases; Formal concept analysis; Numerical pattern mining; Biclustering; Information fusion

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

APA (6th Edition):

Kaytoue, M. (2011). Traitement de données numériques par analyse formelle de concepts et structures de patrons : Mining numerical data with formal concept analysis and pattern structures. (Doctoral Dissertation). Université Henri Poincaré – Nancy I. Retrieved from http://www.theses.fr/2011NAN10015

Chicago Manual of Style (16th Edition):

Kaytoue, Mehdi. “Traitement de données numériques par analyse formelle de concepts et structures de patrons : Mining numerical data with formal concept analysis and pattern structures.” 2011. Doctoral Dissertation, Université Henri Poincaré – Nancy I. Accessed September 27, 2020. http://www.theses.fr/2011NAN10015.

MLA Handbook (7th Edition):

Kaytoue, Mehdi. “Traitement de données numériques par analyse formelle de concepts et structures de patrons : Mining numerical data with formal concept analysis and pattern structures.” 2011. Web. 27 Sep 2020.

Vancouver:

Kaytoue M. Traitement de données numériques par analyse formelle de concepts et structures de patrons : Mining numerical data with formal concept analysis and pattern structures. [Internet] [Doctoral dissertation]. Université Henri Poincaré – Nancy I; 2011. [cited 2020 Sep 27]. Available from: http://www.theses.fr/2011NAN10015.

Council of Science Editors:

Kaytoue M. Traitement de données numériques par analyse formelle de concepts et structures de patrons : Mining numerical data with formal concept analysis and pattern structures. [Doctoral Dissertation]. Université Henri Poincaré – Nancy I; 2011. Available from: http://www.theses.fr/2011NAN10015

28. Troxell, Paden Michael. A Process for Extracting Knowledge in Design for the Developing World.

Degree: 2017, Bucknell University

 The aim of this study was to develop the process necessary to identify design knowledge shared across product classes and contexts in Design for the… (more)

Subjects/Keywords: design theory and methodology; design for the developing world; knowledge discovery in databases; data mining; cluster analysis; design; mechanical engineering; design principles; low-resources settings

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

APA (6th Edition):

Troxell, P. M. (2017). A Process for Extracting Knowledge in Design for the Developing World. (Thesis). Bucknell University. Retrieved from https://digitalcommons.bucknell.edu/masters_theses/185

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):

Troxell, Paden Michael. “A Process for Extracting Knowledge in Design for the Developing World.” 2017. Thesis, Bucknell University. Accessed September 27, 2020. https://digitalcommons.bucknell.edu/masters_theses/185.

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

MLA Handbook (7th Edition):

Troxell, Paden Michael. “A Process for Extracting Knowledge in Design for the Developing World.” 2017. Web. 27 Sep 2020.

Vancouver:

Troxell PM. A Process for Extracting Knowledge in Design for the Developing World. [Internet] [Thesis]. Bucknell University; 2017. [cited 2020 Sep 27]. Available from: https://digitalcommons.bucknell.edu/masters_theses/185.

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

Council of Science Editors:

Troxell PM. A Process for Extracting Knowledge in Design for the Developing World. [Thesis]. Bucknell University; 2017. Available from: https://digitalcommons.bucknell.edu/masters_theses/185

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


University of Exeter

29. Abeysekara, Thusitha Bernad. A proposal for the protection of digital databases in Sri Lanka.

Degree: PhD, 2013, University of Exeter

 Economic development in Sri Lanka has relied heavily on foreign and domestic investment. Digital databases are a new and attractive area for this investment. This… (more)

Subjects/Keywords: 006.312; Digital database; Data mining; Knowledge Discovery in Databases; Copyright; Patent; Contract; Unfair competition; Misappropriation; Sui generis; Investment; Digital meeting of the minds; Sri Lanka

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

APA (6th Edition):

Abeysekara, T. B. (2013). A proposal for the protection of digital databases in Sri Lanka. (Doctoral Dissertation). University of Exeter. Retrieved from http://hdl.handle.net/10871/14172

Chicago Manual of Style (16th Edition):

Abeysekara, Thusitha Bernad. “A proposal for the protection of digital databases in Sri Lanka.” 2013. Doctoral Dissertation, University of Exeter. Accessed September 27, 2020. http://hdl.handle.net/10871/14172.

MLA Handbook (7th Edition):

Abeysekara, Thusitha Bernad. “A proposal for the protection of digital databases in Sri Lanka.” 2013. Web. 27 Sep 2020.

Vancouver:

Abeysekara TB. A proposal for the protection of digital databases in Sri Lanka. [Internet] [Doctoral dissertation]. University of Exeter; 2013. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/10871/14172.

Council of Science Editors:

Abeysekara TB. A proposal for the protection of digital databases in Sri Lanka. [Doctoral Dissertation]. University of Exeter; 2013. Available from: http://hdl.handle.net/10871/14172

30. Kihlström, Petter. Literature Study and Assessment of Trajectory Data Mining Tools.

Degree: Geoinformatics, 2015, KTH

  With the development of technologies such as Global Navigation Satellite Systems (GNSS), mobile computing, and Information and Communication Technology (ICT) the procedure of sampling… (more)

Subjects/Keywords: Trajectory data mining; Tasks; Taxonomy; Tools; Knowledge Discovery in Databases

…Navigation Satellite System Knowledge discovery in databases Radio-frequency Identification… …were selected to cover the essential parts in the knowledge discovery process as well as to… …represented in data, from extracting such potential relations is called Knowledge discovery in… …mining branch. Within the following sections the overall knowledge discovery process as well as… …a strict sense. 3.3.2 Knowledge discovery process Large sets of aggregated trajectory data… 

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

APA (6th Edition):

Kihlström, P. (2015). Literature Study and Assessment of Trajectory Data Mining Tools. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-170452

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):

Kihlström, Petter. “Literature Study and Assessment of Trajectory Data Mining Tools.” 2015. Thesis, KTH. Accessed September 27, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-170452.

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

MLA Handbook (7th Edition):

Kihlström, Petter. “Literature Study and Assessment of Trajectory Data Mining Tools.” 2015. Web. 27 Sep 2020.

Vancouver:

Kihlström P. Literature Study and Assessment of Trajectory Data Mining Tools. [Internet] [Thesis]. KTH; 2015. [cited 2020 Sep 27]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-170452.

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

Council of Science Editors:

Kihlström P. Literature Study and Assessment of Trajectory Data Mining Tools. [Thesis]. KTH; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-170452

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

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