Decomposition Methodology For Knowledge Discovery And Data Mining : Theory And Applications - Lior Rokach

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Decomposition Methodology For Knowledge Discovery And Data Mining

Theory And Applications

By: Lior Rokach, Oded Z Maimon

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Hardcover | 31 May 2005

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Hardcover
344 Pages

Dimensions(cm)
23.4 x 15.8 x 2.4

Hardcover

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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 from 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, and then joining them together to solve the initial problem. The benefits of decomposition methodology in data mining include: increased performance (classification accuracy), conceptual simplification of the problem, enhanced feasibility with huge databases, clearer and more comprehensible results, reduced runtime by solving smaller problems and by using parallel/distributed computation, and the opportunity of using different techniques for individual sub-problems.

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You Can Find This Book In

Non-Fiction Computing & I.T.Databases Data Mining Mathematics Probability & Statistics Engineering & Technology Technology in General Calculus & Mathematical Analysis Numerical Analysis Computer Science Artificial Intelligence

Expert Systems & Knowledge-Based Systems Booktopia Publisher Services World Scientific Publishing

Knowledge discovery and data mining : concepts and fundamental aspects	p. 1
Decision trees	p. 35
Clustering methods	p. 61
Ensemble methods	p. 95
Elementary decomposition framework	p. 123
Feature set decomposition	p. 151
Space decomposition	p. 201
Sample decomposition	p. 215
Function decomposition	p. 231
Concept aggregation	p. 259
A meta-classification for decomposition methodology	p. 285
Table of Contents provided by Blackwell. All Rights Reserved.

Decomposition Methodology For Knowledge Discovery And Data Mining

Theory And Applications

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

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