List of data mining books

Here is a non exhaustive list of general or introductory books about data mining and machine learning:

• Cristianini N. and Shawe-Taylor J., An Introduction to Support Vector Machines and Other Kernel-based Learning Methods, Cambridge University Press, 2000.


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


• Langley P., Elements of machine learning, Morgan Kaufmann Publishers, 1996.


• Larose D.T., Discovering knowledge in data: an introduction to data mining, Wiley-Interscience, 2005.


• Mitchell T.M., Machine learning, McGraw-Hill, 1997.


• Pal S.K. and Mitra P., Pattern Recognition Algorithms for Data Mining, CRC Press, 2004.


• Tan P.-N., Steinbach M. and Kumar V., Introduction to Data Mining, Addison Wesley, 2006.


• Webb A., Statistical Pattern Recognition, Wiley, 2002.


• Witten I. and Frank E., Data Mining: Practical machine learning tools and techniques with Java implementations, Morgan Kaufmann Publishers, 2000.

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