eBook - PDF

Decomposition Methodology for Knowledge Discovery and Data Mining

Name: Decomposition Methodology for Knowledge Discovery and Data Mining
Author: Oded Maimon, Lior Rokach;;;

Theory and Applications

Oded Maimon,

Lior Rokach;;;,

344 pages
English
PDF
Available on iOS & Android

eBook - PDF

Decomposition Methodology for Knowledge Discovery and Data Mining

Theory and Applications

Oded Maimon,

Lior Rokach;;;,

About this book

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 then joined 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 for 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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Yes, you can access Decomposition Methodology for Knowledge Discovery and Data Mining by Oded Maimon, Lior Rokach;;; in PDF and/or ePUB format, as well as other popular books in Computer Science & Information Technology. We have over one million books available in our catalogue for you to explore.