Data Mining Textbook
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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
- …
- Example(s):
- Counter-Example(s):
- See: Data Mining Tutorial, Data Mining Course Note.
References
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