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Handbook of Data Mining and Knowledge Discovery Hardcover – June 15, 2002

ISBN-13: 978-0195118315 ISBN-10: 0195118316 Edition: 1st

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Product Details

  • Hardcover: 1064 pages
  • Publisher: Oxford University Press; 1 edition (June 15, 2002)
  • Language: English
  • ISBN-10: 0195118316
  • ISBN-13: 978-0195118315
  • Product Dimensions: 10.1 x 7.6 x 2.1 inches
  • Shipping Weight: 4.6 pounds
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #1,798,615 in Books (See Top 100 in Books)

Editorial Reviews

About the Author

Willi Klosgen, Principal Researcher, Fraunhofer Institute for Autonomous Intelligent Systems, Sankt Augustin.

More About the Author

Ira J. Haimowitz, Ph.D. is Principal, Media Center of Excellence, at Information Resources Inc. (IRI), leading a team applying analytics to consumer media targeting and optimization for packaged goods, agencies, and retail. His background is in computer science, data mining, and healthcare technology. He has over twenty years of analytics and technology experience.

Formerly, Ira was Executive Vice President, Analytics and Operations, at The CementBloc, a leading healthcare communications agency.
Previously Ira has also worked at the Wunderman agency, and has led teams at Pfizer, Organon,and General Electric. Ira is also a former President, Pharmaceutical Management Science Association.

Healthcare Relationship Marketing by Gower Publishing in 2011 is Ira's first published long-form book. He has published many research articles and spoken extensively at conferences.

Ira is an active blogger for IRI ( also has blogged on Healthcare Relationship Marketing at

In his spare time, Ira enjoys reading Presidential biographies, jogging, cycling, and spending time with family.

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Format: Hardcover
As computer usage keeps increasing, the amount of data being stored on disks worldwide also rises. Many terabytes by now, if not a petabyte or two.

Companies often have gigabytes of data that need to be analysed. This book is a very useful compendium of techniques that can be applied to the data. Because it may be that a sophisticated understanding of your data is a strategic advantage to your company. If not a core competence.

The book covers data in many different fields. From financial, engineering, medical and even bioinformatic. The methods applied to these data span the gamut from Artificial Intelligence to neural networks. While some methods are specific to the type of data being studied, the astute reader may be able to modify these for her own situation.
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