Decomposition Methodology for Knowledge Discovery and Data Mining: Theory and Applications

Decomposition Methodology for Knowledge Discovery and Data Mining: Theory and Applications

by Rokach Lior, Lior Rokach
     
 

Data Mining is the science and technology of exploring data in order to discover previously unknown patterns. It is a part of the overall process of Knowledge Discovery in Databases (KDD). The accessibility and abundance of information today makes data mining a matter of considerable importance and necessity. This book provides an introduction to the field with an… See more details below

Overview

Data Mining is the science and technology of exploring data in order to discover previously unknown patterns. It is a part of the overall process of Knowledge Discovery in Databases (KDD). The accessibility and abundance of information today makes data mining a matter of considerable importance and necessity. This book provides an introduction to the field with an emphasis on advanced decomposition methods in general data mining tasks and for classification tasks in particular. The book presents a complete methodology for decomposing classification problems into smaller and more manageable sub-problems that are solvable by using existing tools. The various elements are and then joined together to solve the initial problem.

Product Details

ISBN-13:
9789812560797
Publisher:
World Scientific Publishing Company, Incorporated
Publication date:
05/18/2005
Series:
Series on Machine Perception and Artificial I
Pages:
344
Product dimensions:
6.30(w) x 9.00(h) x 0.90(d)

Related Subjects

Table of Contents

1Knowledge discovery and data mining : concepts and fundamental aspects1
2Decision trees35
3Clustering methods61
4Ensemble methods95
5Elementary decomposition framework123
6Feature set decomposition151
7Space decomposition201
8Sample decomposition215
9Function decomposition231
10Concept aggregation259
11A meta-classification for decomposition methodology285

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