SELECTED BOOKS
Knowledge Discovery and Data Mining
- "Data Mining: Practical Machine Learning Tools and Techniques (Third Edition)" I.H. Witten, E. Frank, M. Hall. Morgan Kaufmann Publishers. 2011.
- Introduction to Data Mining P.-N. Tan, M. Steinbach, V. Kumar. Addison-Wesley 2005. ISBN-10: 0321321367 ISBN-13: 9780321321367
- "Data Mining: Concepts and Techniques". J. Han and M. Kamber. Morgan Kaufmann Publishers. 2001. ISBN: 1-55860-489-8.
- "Advances in Knowledge Discovery and Data Mining". Eds.: Fayyad, Piatetsky-Shapiro, Smyth, and Uthurusamy. The MIT Press, 1995.
- "Data Mining. Technologies, Techniques, Tools, and Trends". B. Thuraisingham. CRC, 1998.
- "Data Mining. A hands-on approach for business professionals". R. Groth. Prentice Hall, 1998.
- "Data Preparation for Data Mining". Dorian Pyle, 3/99.
- "Data Mining". P. Adriaans & D. Zantinge
- "Data Mining Methods for Knowledge Discovery" Cios, Pedrycz, & Swiniarski, 1998.
- "Data Mining Techniques for Marketing, Sales and Customer Support". Berry & Linoff.
- "Decision Support using Data Mining". Anand and Buchner.
- "Feature Selection for Knowledge Discovery and Data Mining". Liu and Motoda.
- "Feature Extraction, Construction and Selection: A Data Mining Perpective". Eds: Motoda and Liu.
- "The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data". Ronen Feldman, James Sanger. 2006.
- "Knowledge Acquisition from Databases". Xindong Wu.
- "Mining Very Large Databases with Parallel Processing". Alex Freitas, Simon Lavington.
- "Predictive Data-Mining: A Practical Guide". Weiss & Indurkhya.
- "Machine Learning and Data Mining: Methods and Applications." Michalski, Bratko, and Kubat, 1998; John Wiley & Sons.
- "Mining Very Large Databases with Parallel Processing". Freitas & Lavington.
- "Rough Sets and Data Mining: Analysis of Imprecise Data." Eds: Lin and Cercone; Kluwer.
- "Seven Methods for Transforming Corporate Data into Business Intelligence". Vasant Dhar and Roger Stein; Prentice-Hall, 1997.
- Web Data Mining Exploring Hyperlinks, Contents, and Usage Data Series: Data-Centric Systems and Applications Bing Liu. 2007.
Machine Learning (outdated - will update when I have the time)
- "Machine Learning". Tom M. Mitchell. McGraw-Hill, 1997.
- "Elements of Machine Learning". P. Langley. Morgan Kaufmann Publishers, Inc. 1996.
- "Data Mining: Practical Machine Learning Tools and Techniques (Second Edition)". I.H. Witten and E. Frank. Morgan Kaufmann Publishers. 2005. ISBN: 0-12-088407-0
General AI
- "Artificial Intelligence: A Modern Approach". S. Russell, P. Norvig. 3rd edition. Prentice Hall, 2009.
- "Artificial Intelligence: Theory and Practice". T. Dean, J. Allen, Y. Aloimonos. The Benjamin/Cummings Publishing Company, Inc. 1995.
- "Readings in Artificial Intelligence". B. L. Webber, N. J. Nilsson, eds. Tioga Publishing Company, 1981.
- "Artificial Intelligence". 3rd edition. Patrick H. Winston. Addison Wesley.
- "The Elements of Artificial Intelligence Using Common Lisp". S. L. Tanimoto. Computer Science Press 1990.
- "Artificial Intelligence" Second edition. E. Rich and K. Knight. McGraw Hill 1991.
- "Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp". P. Norvig. Morgan Kaufmann Publishers, 1992.
- "Essentials of Artificial Intelligence". M. Ginsberg. Morgan Kaufmann Publishers, 1993.
- "Artificial Intelligence Structures and Strategies for Complex Problem Solving". Third edition. G. F. Luger and W. A. Stubblefield. Addison-Wesley, 1998.
- "Logical Foundations of Artificial Intelligence". M.R. Genesereth and N. Nilsson. Morgan Kaufmann, 1987.
Databases
- "A First Course in Database Systems". J. Ullman, J. Widom. Prentice-Hall, 1997.
- "Database Management Systems", 2nd ed. R. Ramakrishnan. McGraw-Hill, 1999.
- Advanced Database Systems". C. Zaniolo, S. Ceri, C. Faloutsos, R.T. Snodgrass, V.S. Subrahmanian, R. Zicari. The Morgan Kaufmann, 1997.
- "Readings in Database Systems". 2nd Edition. Ed. M. Stonebraker. 1994, Morgan Kaufmann.
Statistics
- "Statistical Inference for Management and Economics". P. Billingsley, D. Croft, D. Huntsberger, C. Watson. Boston: Allyn and Bacon, Inc. 1986.
- "Probability and Statistics". 2nd edition. M. DeGroot. Addison Wesley, 1986.
- "Statistical Inference". G. Casella, R. Berger. Wadsworth and Brooks/Cole, 1990.
Data Sets
- Univ. of California Irvine Machine Learning Data Repository.
- Univ. of California Irvine KDD Data Repository.
- Datasets for Data Mining
- Datamob - Public data put to good use.
- Time Series Data Library
- CMU's StatLib-Datasets Archive
- Stanford Large Network Dataset Collection (SNAP)
- 100+ Interesting Data Sets for Statistics
KDD
- ACM SIGKDD.
- KDNuggets: Data Mining and Knowledge Discovery Resources
- RPI's Data Mining Links
- KDD Research Groups
KDD Commercial Products / Prototypes
Data Warehousing and OLAP
- The Data Warehousing Information Center
- Data Warehousing and OLAP - A Research-Oriented Bibliography
- OLAP Council White Paper
Machine Learning
- Tom Mitchell's Machine Learning Course - Spring 2011. CMU
- Yaser Abu-Mostafa's Learning from Data Course. Caltech.
- Tom Fawcett's Machine Learning Classifier Gallery
- Online Machine Learning Resources
- Machine Learning Resources
- Machine Learning Papers
- UCI Machine Learning
- Reinforcement Learning and Friends at Carnegie Mellon
- A Bibliography on Automatic Text Categorization
- Read the Web: Research Project at Carnegie Mellon University
Statistics
General AI
- AItopics.org
- Interesting AI Demos and Projects
- MIT's AI Course Demos
- Russell and Novig's AI on the Web
- Challenge Problems for Artificial Intelligence
- Miscelaneous AI Systems and Applications: