• Introduction to Data Mining

Introduction to Data Mining

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Overview

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

Product Details

ISBN-13: 9781292026152
ISBN-10: 1292026154
Publisher: Pearson
Publication date: 2014
Edition description: Pearson New International Edition
Pages: 732
Product dimensions: Height: 10.86612 Inches, Length: 8.62203 Inches, Weight: 1.10231131 Pounds, Width: 1.29921 Inches
Author: Pang-Ning Tan, Michael Steinbach, Vipin Kumar
Language: en
Binding: Paperback

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