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Computational methods of feature selection / edited by Huan Liu, Hiroshi Motoda

Contributor(s): Series: Chapman and Hall/CRC data mining and knowledge seriesPublication details: Boca Raton, Fla. : Chapman & Hall/CRC Press, 2020Description: [16], 419 p. : ill., charts ; 24 cmISBN:
  • 9780367830366 :
Subject(s): DDC classification:
  • 23rd R.R. 005.74 C 739
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Item type Current library Collection Call number Materials specified Status Date due Barcode Item holds
Books Books National Library of India Reading Room - Main Reading Room Reading Room R.R. 005.74 C 739 (Browse shelf(Opens below)) HB Available PUR000579545ENG
Total holds: 0

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

Includes bibliographical references and indexes

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