Computational methods of feature selection /

Feature selection is an essential step for successful data mining applications and has practical significance in many areas, such as statistics, pattern recognition, machine learning, and knowledge discovery. This text covers the key concepts, representative approaches, and inventive applications of...

Full description

Bibliographic Details
Corporate Author:	Taylor & Francis
Other Authors:	Liu, Huan, 1958-, Motoda, Hiroshi
Format:	eBook
Language:	English
Published:	Boca Raton : Chapman & Hall/CRC, ©2008.
Series:	Chapman & Hall/CRC data mining and knowledge discovery series.
Subjects:	Database management. Data mining. Machine learning. Organization. Artificial intelligence. Data Mining Databases as Topic Organization and Administration Artificial Intelligence Machine Learning Bases de données > Gestion. Exploration de données (Informatique) Apprentissage automatique. Organisation. Intelligence artificielle. artificial intelligence. COMPUTERS > Desktop Applications > Databases. COMPUTERS > Database Management > General. COMPUTERS > System Administration > Storage & Retrieval. Organization Artificial intelligence Data mining Database management Machine learning Electronic books.
Online Access:	Connect to the full text of this electronic book

Description
Summary:	Feature selection is an essential step for successful data mining applications and has practical significance in many areas, such as statistics, pattern recognition, machine learning, and knowledge discovery. This text covers the key concepts, representative approaches, and inventive applications of various aspects of feature selection.
Physical Description:	1 online resource (419 pages) : illustrations
Bibliography:	Includes bibliographical references and index.
ISBN:	9781584888796 1584888792 9781584888789 1584888784 9780429150418 0429150415