Introduction to Data Mining: Pearson New International Edition

by Pang-Ning Tan, Michael Steinbach, and Vipin Kumar

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Book cover for Introduction to Data Mining: Pearson New International Edition

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Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics.

Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.

Quotes

This book provides a comprehensive coverage of important data mining techniques. Numerous examples are provided to lucidly illustrate the key concepts.

-Sanjay Ranka, University of Florida

In my opinion this is currently the best data mining text book on the market. I like the comprehensive coverage which spans all major data mining techniques including classification, clustering, and pattern mining (association rules).

-Mohammed Zaki, Rensselaer Polytechnic Institute

  • ISBN10 1299961703
  • ISBN13 9781299961708
  • Publish Date 1 January 2013
  • Publish Status Active
  • Out of Print 29 April 2015
  • Publish Country US
  • Imprint Pearson
  • Edition Revised ed.
  • Format eBook
  • Language English