Data Mining Book: Know It All

Soon to be released (November, 21st), a new book about data mining: Data Mining: Know It All. The list of authors is impressive:

Soumen Chakrabarti, Earl Cox, Eibe Frank, Ralf Hartmut G├╝ting, Jiawei Han, Xia Jiang, Micheline Kamber, Sam S. Lightstone, Thomas P. Nadeau, Richard E Neapolitan, Dorian Pyle, Mamdouh Refaat, Markus Schneider, Toby J. Teorey, Ian H. Witten.

Here is a description from Amazon:

This book brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced topics, thereby covering the gamut of data mining and machine learning tactics ? from data integration and pre-processing, to fundamental algorithms, to optimization techniques and web mining methodology.

The proposed book expertly combines the finest data mining material from the Morgan Kaufmann portfolio. Individual chapters are derived from a select group of MK books authored by the best and brightest in the field. These chapters are combined into one comprehensive volume in a way that allows it to be used as a reference work for those interested in new and developing aspects of data mining.

This book represents a quick and efficient way to unite valuable content from leading data mining experts, thereby creating a definitive, one-stop-shopping opportunity for customers to receive the information they would otherwise need to round up from separate sources.


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Comments Icon3 comments found on “Data Mining Book: Know It All

  1. I was so excited to buy it until the following first customer review shocked me!
    Could this book with all these well-known data/web mining authors/researchers be really that bad?! How discouraging !

  2. But then again, the review is very bad itself and ony talks about a lack of (detailed) references. So far, there is no good description and review of the book, so let us not comment on its quality.

  3. @Angelo: I also read the first comment, but I think we should wait for at least a few comments before judging the quality of the book.

    @Anonymous: I definitely agree with you. Also, note that it is the only review on Amazon from this reviewer (he is thus not used to review books, at least on Amazon).

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