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Data Mining Methods and Applications

By: Kenneth D. Lawrence (Edited by) , Ronald K. Klimberg (Edited by) , Stephan Kudyba (Edited by)

Manufacture on Demand

Ksh 26,600.00

Format: Hardback or Cased Book

ISBN-10: 0849385229

ISBN-13: 9780849385223

Publisher: Taylor & Francis Ltd

Imprint: Auerbach

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Dec 22nd, 2007

Publication Status: Active

Product extent: 332 Pages

Weight: 780.00 grams

Product Classification / Subject(s): Data mining
Network management
Computer science

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  • Description

  • Reviews

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.
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


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