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Recommended Reference Books

  • E. Alpaydin. Introduction to Machine Learning, 2nd ed., MIT Press, 2011
  • S. Chakrabarti. Mining the Web: Statistical Analysis of Hypertex and Semi-Structured Data. Morgan Kaufmann, 2002
  • R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification, 2ed., Wiley-Interscience, 2000
  • T. Dasu and T. Johnson. Exploratory Data Mining and Data Cleaning. John Wiley & Sons, 2003
  • U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy. Advances in Knowledge Discovery and Data Mining. AAAI/MIT Press, 1996
  • U. Fayyad, G. Grinstein, and A. Wierse, Information Visualization in Data Mining and Knowledge Discovery, Morgan Kaufmann, 2001
  • J. Han, M. Kamber, and J. Pei, Data Mining: Concepts and Techniques. Morgan Kaufmann, 3rd ed. , 2011
  • T. Hastie, R. Tibshirani, and J. Friedman, The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd ed., Springer, 2009
  • B. Liu, Web Data Mining, Springer 2006
  • T. M. Mitchell, Machine Learning, McGraw Hill, 1997
  • Y. Sun and J. Han, Mining Heterogeneous Information Networks, Morgan & Claypool, 2012
  • P.-N. Tan, M. Steinbach and V. Kumar, Introduction to Data Mining, Wiley, 2005
  • S. M. Weiss and N. Indurkhya, Predictive Data Mining, Morgan Kaufmann, 1998
  • I. H. Witten and E. Frank, Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations, Morgan Kaufmann, 2nd ed. 2005

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