Practical Applications Of Data Mining / Edition 1

Practical Applications Of Data Mining / Edition 1

by Sang C. Suh
     
 

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ISBN-10: 0763785873

ISBN-13: 9780763785871

Pub. Date: 01/20/2011

Publisher: Jones & Bartlett Learning

Practical Applications of Data Mining emphasizes both theory and applications of data mining algorithms. Various topics of data mining techniques are identified and described throughout, including clustering, association rules, rough set theory, probability theory, neural networks, classification, and fuzzy logic. Each of these techniques is explored with a

Overview

Practical Applications of Data Mining emphasizes both theory and applications of data mining algorithms. Various topics of data mining techniques are identified and described throughout, including clustering, association rules, rough set theory, probability theory, neural networks, classification, and fuzzy logic. Each of these techniques is explored with a theoretical introduction and its effectiveness is demonstrated with various chapter examples. This book will help any database and IT professional understand how to apply data mining techniques to real-world problems.

Following an introduction to data mining principles, Practical Applications of Data Mining introduces association rules to describe the generation of rules as the first step in data mining. It covers classification and clustering methods to show how data can be classified to retrieve information from data. Statistical functions and drough set theory are discussed to demonstrate how statistical and rough set formulas can be used for data analytics and knowlege discovery. Neural networks is an important branch in computational intelligence. It is introduced and explored in the text to investigate the role of neural network algorithms in data analytics.

Product Details

ISBN-13:
9780763785871
Publisher:
Jones & Bartlett Learning
Publication date:
01/20/2011
Edition description:
1
Pages:
420
Product dimensions:
7.40(w) x 9.10(h) x 0.90(d)

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