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Rafael Santos

rafael.santos@lac.inpe.br
http://www.lac.inpe.br/~rafael.santos

CAP-359 (Princípios e Aplicações de Mineração de Dados)

Esta disciplina será oferecida no segundo período de 2010. Verifique o site da CAP para informações sobre matrícula e anúncios sobre oferta desta e de outras disciplinas.

Links nesta página: Calendário, Bibliografia.

Outros links: Software, Bases de dados.

Calendário

Lembrete: Leia as notas de aula preferencialmente antes das aulas.

Aula 1

Apresentação da disciplina. Introdução aos conceitos de mineração de dados e descoberta de conhecimento em bases de dados. Alguns exemplos.

Aula 2

TBD

Aula 3

TBD

Aula 4

TBD

Aula 5

TBD

Aula 6

TBD

Aula 7

TBD

Aula 8

TBD

Aula 9

TBD

Aula 10

TBD

Aula 11

TBD

Aula 12

TBD

Aula 13

TBD

Aula 14

TBD

Aula 15

TBD

Aula 16

TBD

Aula 17

TBD

Aula 18

TBD

Aula 19

TBD

Aula 20

TBD

Aula 21

TBD

Aula 22

TBD

Bibliografia

Relatórios de Alunos da Disciplina (2009)

Data Mining em geral

  • Pang-Ning Tan, Michael Steinbach, Vipin Kumar, Introdução ao Data Mining - Mineração de Dados, Editora Ciência Moderna, 1ª edição, 2009.
    A edição original é Introduction to Data Mining, Pearson/Addison-Wesley, 2006.
  • Ronaldo Goldschmidt, Emmanuel Passos, Data Mining: Um Guia Prático, Editora Campus, 2005.
  • Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth and Ramasamy Uthurusamy, Advances in Knowledge Discovery and Data Mining, MIT Press, 1996.
  • Dorian Pyle, Data Preparation for Data Mining, Academic Press, 1999.
  • Ian H. Witten and Eibe Frank, Data Mining - Practical Machine Learning Tools and Techniques with Java Implementations, Morgan Kaufmann Publishers, 2000.
  • Michael W .Berry, Murray Browne (Editors), Lecture Notes in Data Mining, World Scientific Publishing, 2006.
  • S. Sumathi and S.N. Sivanandam, Introduction to Data Mining and its Applications, Springer, 2006.
  • Jiawei Han and Micheline Kamber, Data Mining: Concepts and Techniques, Morgan Kaufmann, 2006.
  • Max Bramer, Principles of Data Mining, Springer, 2007.
  • Daniel T. Larose, Discovering Knowledge in Data: An Introduction to Data Mining, Wiley-Interscience, 2005.
  • Krzysztof J. Cios, Witold Pedrycz, Roman W. Swiniarski and Lukasz A. Kurgan, Data Mining -- A Knowledge Discovery Approach, Springer, 2007.
  • Glenn J. Myatt, Making Sense of Data -- A Practical Guide to Exploratory Data Analysis and Data Mining, Wiley-Interscience, 2007.
  • Graham J. Williams and Simeon J. Simoff (Editors), Data Mining: Theory, Methodology, Techniques, and Applications, Springer, 2006 (LNCS 3755).

Técnicas e algoritmos

  • J. Ross Quinlan, C4.5: Programs for Machine Learning, Morgan Kaufmann, 1993.
  • Carl G. Looney, Pattern Recognition Using Neural Networks, Oxford University Press, 1997.
  • Teuvo Kohonen, Self-Organizing Maps, Springer, 1997.
  • R. Beale and T. Jackson, Neural Computing: An Introduction, MIT Press, 1990.
  • Laurene V. Fausett, Fundamentals of Neural Networks, Prentice Hall, 1994.
  • Mark F. Hornick, Erik Marcadé and Sunil Venkayala, Java Data Mining: Strategy, Standard, and Practice -- A Practical Guide for Architecture, Design, and Implementation, Morgan Kaufmann, 2007.
  • Te-Ming Huang, Vojislav Kecman and Ivica Kopriva, Kernel Based Algorithms for Mining Huge Data Sets -- Supervised, Semi-supervised, and Unsupervised Learning, Springer, 2006.
  • David L. Olson, Dursun Delen, Advanced Data Mining Techniques, Springer, 2008.
  • Daniel T. Larose, Data Mining Methods and Models, Wiley-Interscience, 2006.
  • Fabrice Guillet, Howard J. Hamilton (Editors), Quality Measures in Data Mining, Springer, 2007.
  • Lipo Wang and Xiuju Fu, Data Mining with Computational Intelligence, Springer, 2005.
  • David E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, 1989.
  • Randy L. Haupt and Sue Ellen Haupt, Practical Genetic Algorithms, Wiley-Interscience, 2004.
  • Witold Pedrycz, Knowledge-Based Clustering -- From Data to Information Granules, Wiley-Interscience, 2005.
  • James C. Bezdek, Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum Press, 1987.
  • James C. Bezdek and Sankar K. Pal, Fuzzy Models for Pattern Recognition, IEEE Press, 1992.
  • Eric Bonabeau, Marco Dorigo and Guy Theraulaz, Swarm Intelligence: From Natural to Artificial Systems, Oxford University Press, 1999.

Aplicações em domínios específicos

  • Michael W. Berry, Survey of Text Mining -- Clustering, Classification and Retrieval, Springer, 2003.
  • Michael W. Berry and Malu Castellanos (Editors), Survey of Text Mining II -- Clustering, Classification, and Retrieval, Springer, 2008.
  • Hércules Antonio do Prado and Edilson Ferneda, Emerging Technologies of Text Mining: Techniques and Applications, IGI Global, 2008.
  • Soumen Chakrabarti, Mining the Web -- Discovering Knowledge from Hypertext Data, Morgan Kaufmann Publishers, 2003.
  • Zdravko Markov and Daniel T. Larose, Data Mining The Web -- Uncovering Patterns in Web Content, Structure, and Usage, Wiley - Interscience, 2007.
  • Anthony Scime, Web Mining: Applications and Techniques, Idea Group Publishing, 2005.
  • Adam Schenker, Horst Bunke, Mark Last and Abraham Kandel, Graph-Theoretic Techniques for Web Content Mining, World Scientific, 2005.
  • Ronen Feldman and James Sanger, The Text Mining Handbook -- Advanced Approaches in Analyzing Unstructured Data, Cambridge University Press, 2007.
  • Petra Perner, Data Mining on Multimedia Data, Springer, 2002.
  • Diane J. Cook, Lawrence B. Holder (Editors), Mining Graph Data, Wiley-Interscience, 2007.
  • Marcus A. Maloof (Editor), Machine Learning and Data Mining for Computer Security -- Methods and Applications, Springer, 2006.
  • Mark Last, Abraham Kandel, Horst Bunke (Editors), Data Mining in Time Series Databases, World Scientific, 2004.

Proceedings e publicações on-line

  • David Jensen and Jennifer Neville, Data Mining in Social Networks.
  • Jan Komorowski Jan Żytkow (Eds.), Principles of Data Mining and Knowledge Discovery -- First European Symposium, PKDD '97, Trondheim, Norway, June 24-27, 1997 (LNCS 1263).
  • Jan M. Żytkow and Mohamed Quafafou (Editors), Principles of Data Mining and Knowledge Discovery -- Second European Symposium, PKDD '98, Nantes, France, September 23-26, 1998 (LNCS 1510).
  • Jan M. Żytkow and Jan Rauch (Editors), Principles of Data Mining and Knowledge Discovery -- Third European Conference, PKDD’99, Prague, Czech Republic, September 15-18, 1999 (LNCS 1704).
  • Djamel A. Zighed, Jan Komorowski and Jan Żytkow (Editors), Principles of Data Mining and Knowledge Discovery -- 4th European Conference, PKDD 2000, Lyon, France, September 13-16, 2000 (LNCS 1910).
  • Luc De Raedt and Arno Siebes (Editors), Principles of Data Mining and Knowledge Discovery -- 5th European Conference, PKDD 2001, Freiburg, Germany, September 3-5, 2001 (LNCS 2168).
  • Tapio Elomaa, Heikki Mannila and Hannu Toivonen (Editors), Principles of Data Mining and Knowledge Discovery -- 6th European Conference, PKDD 2002, Helsinki, Finland, August 19-23, 2002 (LNCS 2431).
  • Nada Lavrač, Dragan Gamberger, Ljupčo Todorovski and Hendrik Blockeel (Editors), Knowledge Discovery in Databases: PKDD 2003 -- 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik, Croatia, September 22-26, 2003 (LNCS 2838).
  • Jean-François Boulicaut, Floriana Esposito, Fosca Giannotti and Dino Pedreschi (Editors), Knowledge Discovery in Databases: PKDD 2004 -- 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Pisa, Italy, September 20-24, 2004 (LNCS 3202).
  • Alípio Jorge, Luís Torgo, Pavel Brazdil, Rui Camacho and João Gama (Editors), Knowledge Discovery in Databases: PKDD 2005 -- 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal, October 3-7, 2005 (LNCS 3721).
  • Johannes Fürnkranz, Tobias Scheffer and Myra Spiliopoulou (Editors), Knowledge Discovery in Databases: PKDD 2006 -- 10th European Conference on Principle and Practice of Knowledge Discovery in Databases, Berlin, Germany, September 18-22, 2006 (LNCS 4213).
  • Joost N. Kok, Jacek Koronacki, Ramon Lopez de Mantaras, Stan Matwin, Dunja Mladenič and Andrzej Skowron (Editors), Knowledge Discovery in Databases: PKDD 2007 -- 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland, September 17-21, 2007 (LNCS 4702).
  • Xue Li, Shuliang Wang and Zhao Yang Dong (Editors), Advanced Data Mining and Applications -- First International Conference, ADMA 2005, Wuhan, China, July 22-24, 2005 (LNCS 3584).
  • Xue Li, Osmar R. Zaïane, Zhanhuai Li (Editors), Advanced Data Mining and Applications -- Second International Conference, ADMA 2006, Xi’an, China, August 14-16, 2006 (LNCS 4093).
  • Reda Alhajj, Hong Gao, Xue Li, Jianzhong Li and Osmar R. Zaïane (Editors), Advanced Data Mining and Applications -- Third International Conference, ADMA 2007, Harbin, China, August 6-8, 2007 (LNCS 4632).
  • Xiaohui Liu, Paul Cohen, Michael Berthold (Eds.), Advances in Intelligent Data Analysis -- Reasoning about Data -- Second International Symposium, IDA-97, London, UK, August 4-6, 1997 (LNCS 1280).
  • Tsau Young Lin, Setsuo Ohsuga, Churn-Jung Liau and Xiaohua Hu (Editors), Foundations and Novel Approaches in Data Mining (selected papers from the second workshop on Foundations and New Directions of Data Mining), Springer, 2006.
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