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Data Mining Methods and Applications

Data Mining Methods and Applications

Data Mining Methods and Applications Hardback - 2007

by Kenneth D. Lawrence

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Description

Hardback. New. Addressing a variety of organizational issues, this book presents a compilation of research works on data mining and forecasting techniques, including multivariate, evolutionary, and neural net methods. It focuses on data mining techniques used for conducting marketing research.
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Details

  • Title Data Mining Methods and Applications
  • Author Kenneth D. Lawrence
  • Binding Hardback
  • Edition INTERNATIONAL ED
  • Condition New
  • Pages 332
  • Volumes 1
  • Language ENG
  • Publisher Auerbach Publications, New Delhi
  • Publication date 2007
  • Illustrated Yes
  • Bookseller's Inventory # A9780849385223
  • ISBN 9780849385223 / 0849385229
  • Weight 1.72 lbs (0.78 kg)
  • Category Computers - Data Base Management
  • Library of Congress subjects Data mining
  • Library of Congress Catalogue Number 2007034116
  • Dewey Decimal Code 005.74
  • Quantity available 1

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Reader reviews for Data Mining Methods and Applications

From the publisher

With today's information explosion, many organizations are now able to access a wealth of valuable data. Unfortunately, most of these organizations find they are ill-equipped to organize this information, let alone put it to work for them.

Gain a Competitive Advantage

  • Employ data mining in research and forecasting
  • Build models with data management tools and methodology optimization
  • Gain sophisticated breakdowns and complex analysis through multivariate, evolutionary, and neural net methods
  • Learn how to classify data and maintain quality

Transform Data into Business Acumen

Data Mining Methods and Applications supplies organizations with the data management tools that will allow them to harness the critical facts and figures needed to improve their bottom line. Drawing from finance, marketing, economics, science, and healthcare, this forward thinking volume:

  • Demonstrates how the transformation of data into business intelligence is an essential aspect of strategic decision-making
  • Emphasizes the use of data mining concepts in real-world scenarios with large database components
  • Focuses on data mining and forecasting methods in conducting market research

About the author

Kenneth D. Lawrence, Stephan Kudyba, Ronald K. Klimberg
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