Decomposition Methodology for Knowledge Discovery and Data Mining: Theory and Applications
by Rokach Lior, Lior RokachData 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)
Table of Contents
1 | Knowledge discovery and data mining : concepts and fundamental aspects | 1 |
2 | Decision trees | 35 |
3 | Clustering methods | 61 |
4 | Ensemble methods | 95 |
5 | Elementary decomposition framework | 123 |
6 | Feature set decomposition | 151 |
7 | Space decomposition | 201 |
8 | Sample decomposition | 215 |
9 | Function decomposition | 231 |
10 | Concept aggregation | 259 |
11 | A meta-classification for decomposition methodology | 285 |
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