Data Mining Textbook

A data mining textbook is a textbook for the data mining discipline.

• Context:
  • It can be an aid to Data Mining Education.
  • It can cover a Data Mining Task.
  • It can cover a Data Mining Algorithm.
  • It can be specialized
    • a Text Mining Textbook.
  • …
• Example(s):
  • (Hastie et al., 2009)
  • (Han & Kamber, 2006)
  • (Bishop, 2006).
  • …
• Counter-Example(s):
  • Machine Learning Textbook.
  • Statistics Textbook.
  • Database Textbook.
• See: Data Mining Tutorial, Data Mining Course Note.

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References

• Google Books Service IR Search: http://www.google.com/search?q=data+mining+textbook&tbm=bks

2009

• (Hastie et al., 2009) ⇒ Trevor Hastie, Robert Tibshirani, and Jerome H. Friedman. (2009). “The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2nd edition)." Springer-Verlag. ISBN:0387848576

2006

• (Han & Kamber, 2006) ⇒ Jiawei Han, and Micheline Kamber. (2006). “Data Mining: Concepts and Techniques, 2nd ed." Morgan Kaufmann. ISBN:1558609016
• (Bishop, 2006) ⇒ Christopher M. Bishop. (2006). “Pattern Recognition and Machine Learning." Springer, Information Science and Statistics. ISBN:0387310738

2005

• KDNuggets Poll. (2005). “Books you like as introductory or textbooks for data mining."
• (Witten & Frank, 2005) ⇒ Ian H. Witten, and Eibe Frank. (2005). “Data Mining: Practical machine learning tools and techniques, Second Edition." Morgan Kaufmann. ISBN:0120884070

2001

• (Hand et al., 2001) ⇒ David J. Hand, Heikki Mannila, and Padhraic Smyth. (2001). “Principles of Data Mining." MIT Press. ISBN:026208290X

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