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Unit 4: Data Mining Classification

answers: self assessment notes

1. Statistical 2. Bayes
3. Naïve Bayesian 4. Graphical

5. Bayesian 6. Classification
7. Supervised 8. Predictive accuracy
9. Decision tree 10. Information gain

4.15 further readings

Books A. K. Jain and R. C. Dubes, Algorithms for Clustering Data, Prentice Hall, 1988.
Alex Berson, Data Warehousing Data Mining and OLAP, Tata Mcgraw Hill, 1997
Alex Berson, Stephen J. Smith, Data warehousing, Data Mining & OLAP, Tata
McGraw Hill, Publications, 2004.
Alex Freitas and Simon Lavington, Mining Very Large Databases with Parallel
Processing, Kluwer Academic Publishers, 1998.

J. Ross Quinlan, C4.5: Programs for Machine Learning, Morgan Kaufmann Publishers,
1993.
Jiawei Han, Micheline Kamber, Data Mining – Concepts and Techniques, Morgan
Kaufmann Publishers, First Edition, 2003.
Matthias Jarke, Maurizio Lenzerini, Yannis Vassiliou, Panos Vassiliadis,
Fundamentals of Data Warehouses, Publisher: Springer

Michael Berry and Gordon Linoff, Data Mining Techniques (For Marketing, Sales,
and Customer Support), John Wiley & Sons, 1997.
Michael J. A. Berry, Gordon S Linoff, Data Mining Techniques, Wiley Publishing
Inc, Second Edition, 2004.
Sam Anohory, Dennis Murray, Data Warehousing in the Real World, Addison
Wesley, First Edition, 2000.

Sholom M. Weiss and Nitin Indurkhya, “Predictive Data Mining: A Practical Guide”,
Morgan Kaufmann Publishers, 1998.
Sushmita Mitra, Tinku Acharya, Data Mining – Multimedia, Soft Computing and
Bioinformatics, John Wiley & Sons, 2003.
Usama Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth, and Ramasamy
Uthurasamy, Advances in Knowledge Discovery and Data Mining, AAAI Press/ The
MIT Press, 1996.
V. Cherkassky and F. Mulier, Learning From Data, John Wiley & Sons, 1998.

Online links www.en.wikipedia.org
www.web-source.net

www.webopedia.com

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