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Handbook of Statistical Analysis and Data Mining Applications

Handbook of Statistical Analysis and Data Mining Applications

Handbook of Statistical Analysis and Data Mining Applications
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Handbook of Statistical Analysis and Data Mining Applications Hardback - 2009 - 1st Edition

by Miner, Gary D., Elder, John, IV, Nisbet, Robert, Elder, John

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Elsevier Science & Technology. Used - Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Details

  • Title Handbook of Statistical Analysis and Data Mining Applications
  • Author Miner, Gary D., Elder, John, IV, Nisbet, Robert, Elder, John
  • Binding Hardback
  • Edition number 1st
  • Edition 1
  • Condition Used - Very good
  • Pages 864
  • Volumes 1
  • Language ENG
  • Publisher Elsevier Science & Technology
  • Publication date 2009-06
  • Illustrated Yes
  • Bookseller's Inventory # 5645260-6
  • ISBN 9780123747655 / 0123747651
  • Weight 3.24 lbs (1.47 kg)
  • Dimensions 9.25 x 7.5 x 1.5 in (23.50 x 19.05 x 3.81 cm)
  • Category Mathematics
  • Library of Congress subjects Data mining - Statistical methods
  • Library of Congress Catalogue Number 2009008997
  • Dewey Decimal Code 006.312
  • Quantity available 2

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From the publisher

The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application. Use this book to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques, and discusses their application to real problems, in ways accessible and beneficial to practitioners across industries - from science and engineering, to medicine, academia and commerce. This handbook brings together, in a single resource, all the information a beginner will need to understand the tools and issues in data mining to build successful data mining solutions.

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