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Data Mining : Practical Machine Learning Tools and Techniques

Data Mining : Practical Machine Learning Tools and Techniques

Data Mining : Practical Machine Learning Tools and Techniques Paperback - 2005

by Ian H. Witten; Eibe Frank

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Elsevier Science & Technology, 2005. Paperback. Very Good. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.Dust jacket quality is not guaranteed.
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Details

  • Title Data Mining : Practical Machine Learning Tools and Techniques
  • Author Ian H. Witten; Eibe Frank
  • Binding Paperback
  • Edition 2nd edition
  • Condition Used - Very good
  • Pages 560
  • Volumes 1
  • Language ENG
  • Publisher Elsevier Science & Technology, China
  • Publication date 2005
  • Illustrated Yes
  • Bookseller's Inventory # G0120884070I4N00
  • ISBN 9780120884070 / 0120884070
  • Weight 2.46 lbs (1.12 kg)
  • Dimensions 9.25 x 7.5 x 1.15 in (23.50 x 19.05 x 2.92 cm)
  • Category Computers - General Information
  • Library of Congress subjects Data mining
  • Library of Congress Catalogue Number 2005043385
  • Dewey Decimal Code 006.3
  • Quantity available 1

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Reader reviews for Data Mining : Practical Machine Learning Tools and Techniques

From the publisher

Data Mining, Second Edition, describes data mining techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references.

The highlights of this new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; and much more.

This text is designed for information systems practitioners, programmers, consultants, developers, information technology managers, specification writers as well as professors and students of graduate-level data mining and machine learning courses.

First line

Human in vitro fertilization involves collecting several eggs from a woman's ovaries, which, after fertilization with partner or donor sperm, produce several embryos.
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