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** c 2006 by Pearson Education Inc.
 
** c 2006 by Pearson Education Inc.
 
** ISBN: 0321321367
 
** ISBN: 0321321367
 
* Vendors:
 
** Amazon [http://www.amazon.com/Introduction-Data-Mining-Pang-Ning-Tan/dp/0321321367]
 
  
 
* Book Website [http://www-users.cs.umn.edu/~kumar/dmbook/index.php]
 
* Book Website [http://www-users.cs.umn.edu/~kumar/dmbook/index.php]
 +
 +
* Vendor: Amazon [http://www.amazon.com/Introduction-Data-Mining-Pang-Ning-Tan/dp/0321321367]

Revision as of 00:11, 12 March 2008

Although it is not one of the "classic references", this recently released book is a very good reference for classification algorithms and clustering algorithms and analysis. The book's website contains very useful extra material, including the class slides prepared by the authors for all the chapters.

  • Book details for purchasing information:
    • 2nd Edition
    • c 2006 by Pearson Education Inc.
    • ISBN: 0321321367
  • Book Website [1]
  • Vendor: Amazon [2]

Alumni Liaison

Abstract algebra continues the conceptual developments of linear algebra, on an even grander scale.

Dr. Paul Garrett