Introduction to Data Mining (Pearson New International Edition) ePDF

Level/Grade: Tertiary
Author(s): Tan, P-N; Steinbach, M; Kumar, V
ISBN: 9781292038551
License: Perpetual licence
File type: ePDF
R657,50
R657,50
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 organised into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.

"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

This eBook is in ePDF format, which enables you to:
  • View the entire book offline on desktop or tablet;
  • Search for and highlight text; and
  • Add and edit personal notes directly in your eBook.
Country South Africa
Product Type Text Book
Author(s) Tan, P-N; Steinbach, M; Kumar, V
Level/Grade Tertiary
Brand Pearson
Imprint Pearson
ISBN 9781292038551
Licence Perpetual licence
File type ePDF
Format ePDF
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