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Feature Selection for Knowledge Discovery and Data Mining: A Quick Guide to Feature Selection

Subramanian Appavu alias Balamurugan

ISBN 10: 3659166928 / ISBN 13: 9783659166921
Published by LAP LAMBERT Academic Publishing, 2012
Condition: Good Soft cover
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Bibliographic Details

Title: Feature Selection for Knowledge Discovery ...

Publisher: LAP LAMBERT Academic Publishing

Publication Date: 2012

Binding: Paperback

Book Condition: Good

About this title


With advanced computer technologies and their omnipresent usage, data accumulates in a speed unmatchable by the human's capacity to process data. To meet this growing challenge, the research community of knowledge discovery from databases emerged. The key issue studied by this community is, in layman's terms, to make advantageous use of large stores of data. In order to make raw data useful, it is necessary to represent, process, and extract knowledge for various applications. Feature Selection for Knowledge Discovery and Data Mining offers an overview of the methods developed since the 1970s and provides a general framework in order to examine these methods and categorize them. This book employs simple examples to show the essence of representative feature selection methods such as Bayes Feature Selector, Class Association rule-Information Gain feature selector and Bayes Theorem-Information Gain Feature Selector and compares them using data sets with combination of intrinsic properties according to the objective of feature selection. In addition, the book suggests guidelines on how to use different methods under various circumstances.

About the Author:

Dr.S.A.Balamurugan, Professor & Research Coordinator, KLNCIT, Sivagangai, India. He received his PhD in Data mining from Anna University,Chennai. His research has been supported by UGC,India. He is a member of IEEE and CSI. He has published more than 30 research papers in reputed journal including IEEE, ELSEVIER AND SPRINGER.

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