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

Contributor(s): Material type: TextTextOriginal language: English Publication details: Boca Raton : Chapman & Hall/CRC, c2008.Description: 419 p. : ill. 25 cmISBN:
  • 9781584888789 (alk. paper);1584888784 (alk. paper)
Subject(s): DDC classification:
  • 5.74 22 COM 2008.
LOC classification:
  • QA76.9.D3 C64 2008
Summary: 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,
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Item type Current library Call number Status Date due Barcode
Books Books Library Section SB- R304 005.74 COM 2008. (Browse shelf(Opens below)) Available 31563

Includes bibliographical references and index.

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,

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