Computational methods of feature selection / 
edited by Huan Liu, Hiroshi Motoda 
 - Boca Raton, Fla. :  Chapman & Hall/CRC Press,  2020 
 - [16], 419 p. :  ill., charts ;  24 cm. 
 - Chapman and Hall/CRC data mining and knowledge series .
<br/><br/> 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 
<br/><br/>Includes bibliographical references and indexes 
<br/><br/><label>ISBN: </label>9780367830366 :  £ 1950.00 ( 21 vol. set) 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Database management<br/>Data mining<br/>Machine learning
<br/><br/><label>Dewey Class. No.: </label>R.R. 005.74  / C 739