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• LDR

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• 001

  000001158565

• 005

  20230308101334

• 008

  230306s2017 uk a b 001c0 eng d

• 020

  ▼a  0128042915

• 020

  ▼a  9780128042915

• 035

  ▼a  (KERIS)REF000018279980

• 040

  ▼a  YDXCP
  ▼b  eng
  ▼c  YDXCP
  ▼d  OCLCQ
  ▼d  SRS
  ▼d  OCLCF
  ▼d  LSD
  ▼d  211070

• 050

  ▼a  QA76.9.D343

• 090

  ▼a  QA76.9.D343
  ▼b  W829

• 245

  ▼a  Data mining :
  ▼b  practical machine learning tools and techniques /
  ▼d  Ian H. Witten,
  ▼e  Eibe Frank,
  ▼e  Mark A. Hall,
  ▼e  Christopher J. Pal

• 250

  ▼a  4th ed.

• 260

  ▼a  Cambridge, MA :
  ▼b  Morgan Kaufmann Publisher,
  ▼c  2017

• 300

  ▼a  621 p. :
  ▼b  ill. ;
  ▼c  24 cm

• 504

  ▼a  Includes bibliographical references (pages 573-600) and index

• 520

  ▼a  "Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches." -- back of cover

• 650

  ▼a  Data mining

• 650

  ▼a  Data mining.
  ▼2  fast
  ▼0  (OCoLC)fst00887946

• 700

  ▼a  Witten, I. H.
  ▼q  (Ian H.)

• 700

  ▼a  Frank, Eibe

• 700

  ▼a  Hall, Mark A.
  ▼q  (Mark Andrew)

• 700

  ▼a  Pal, Christopher J.

• 950

  ▼b  ￡50