Decomposition Methodology For Knowledge Discovery And Data Mining: Theory And Applications

Name: Decomposition Methodology For Knowledge Discovery And Data Mining: Theory And Applications
Brand: World Scientific Publishing Co Pte Ltd
SKU: 9789812560797
Price: 47519 HUF
Availability: InStock

Szerző: Oded Z. Maimon, Lior Rokach

Nyelv:

Kötés: Kemény kötésű

Kiadó: World Scientific Publishing Co Pte Ltd

Elérhetőség: 50 % esély

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Data Mining is the science and technology of exploring data in order to discover previously unknown...

Információk a könyvről

Szerző

Oded Z. Maimon, Lior Rokach

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2005

oldal

344

EAN

9789812560797

ISBN

9812560793

Enbook ID

05067941

Kiadó

World Scientific Publishing Co Pte Ltd

Súly

636

Méretek

158 x 234 x 24

Teljes leírás

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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Decomposition Methodology For Knowledge Discovery And Data Mining: Theory And Applications

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