Recommended Data Mining related Monographs

The following texts are recommended, for reference. There are numerous other books or online resources on data mining available.

1. Jiawei Han and Micheline Kamber “Data Mining: Concepts and Techniques” 2^nd ed., Morgan Kaufmann, 2006. See the book's home page for errata, course slides, and other reference materials.

2. Soumen Chakrabarti, “Mining the Web: Statistical Analysis of Hypertext and Semi-Structured Data”, Morgan Kaufmann, 2002.

3. R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification, 2ed., Wiley-Inter-science, 2001.

4. M. H. Dunham, Data Mining: Introductory and Advanced Topics, Prentice Hall, 2002.

5. U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, R. Uthurusamy, Advances in Knowledge Discovery and Data Mining, The MIT Press, 1996

6. U. Fayyad, G. Grinstein, and A. Wierse, Information Visualization in Data Mining and Knowledge Discovery, Morgan Kaufmann, 2001

7. D. J. Hand, H. Mannila, and P. Smyth, Principles of Data Mining, MIT Press, 2001.

8. T. Hastie, R. Tibshirani, and J. Friedman, The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Springer-Verlag, 2001

9. T. M. Mitchell, Machine Learning, McGraw Hill, 1997.

10. Pan-Ning Tan, Michael Steinbach, and Vipin Kumar, Introduction to Data Mining, Addison-Wesley, 2006. ISBN: 0-321-32136-7

11. S. M. Weiss and N. Indurkhya, Predictive Data Mining, Morgan Kaufmann, 1998

12. I. H. Witten and E. Frank, Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations, Morgan Kaufmann, 2^nd ed., 2005, ISBN 0-12-088407-0