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Data Mining: Practical Machine Learning Tools and Techniques


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Product details

  • Paperback: 560 pages
  • Publisher: Morgan Kaufmann; 2 edition (June 8 2005)
  • Language: English
  • ISBN-10: 008047702X
  • ISBN-13: 978-0080477022
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Product description

Review

“I was a big fan of the first edition and I'm excited about this new edition.”
― Peter Norvig, Director of Search Quality, Google, Inc.

“This book presents this new discipline in a very accessible form: both as a text to train the next generation of practitioners and researchers, and to inform lifelong learners like myself. Witten and Frank have a passion for simple and elegant solutions. They approach each topic with this mindset, grounding all concepts in concrete examples, and urging the reader to consider the simple techniques first, and then progress to the more sophisticated ones if the simple ones prove inadequate. If you have data that you want to analyze and understand, this book and the associated Weka toolkit are an excellent way to start.”
― From the foreword by Jim Gray, Microsoft Research

“It covers cutting-edge, data mining technology that forward-looking organizations use to successfully tackle problems that are complex, highly dimensional, chaotic, non-stationary (changing over time), or plagued by. The writing style is well-rounded and engaging without subjectivity, hyperbole, or ambiguity. I consider this book a classic already!”
― Dr. Tilmann Bruckhaus, StickyMinds.com --This text refers to an out of print or unavailable edition of this title.

Book Description

Highly anticipated second edition of the highly-acclaimed reference on data mining and machine learning. --This text refers to an out of print or unavailable edition of this title.

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Most helpful customer reviews on Amazon.com

Amazon.com: 3.7 out of 5 stars 38 reviews
E. Kohlwey
5.0 out of 5 starsExcellent Beginning Text for Software Engineers
March 25, 2010 - Published on Amazon.com
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2 people found this helpful.
K. Greene
4.0 out of 5 starsVery readable book on Data Mining and ML
October 9, 2005 - Published on Amazon.com
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36 people found this helpful.
James Pine
4.0 out of 5 starsA great introduction to data mining and machine learning
July 23, 2007 - Published on Amazon.com
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6 people found this helpful.
Jason C. Maestri
3.0 out of 5 starsA little too wordy for my tastes, but good
June 3, 2008 - Published on Amazon.com
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4 people found this helpful.
Daniel Sionov
2.0 out of 5 starsDissapointed
April 30, 2010 - Published on Amazon.com
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3 people found this helpful.

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