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Biologically-Inspired Techniques for Knowledge Discovery and Data Mining

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Description

Biologically-inspired data mining has a wide variety of applications in areas such as data clustering, classification, sequential pattern mining, and information extraction in healthcare and bioinformatics. Over the past decade, research materials in this area have dramatically increased, providing clear evidence of the popularity of these techniques. Biologically-Inspired Techniques for Knowledge Discovery and Data Mining exemplifies prestigious research and shares the practices that have allowed these areas to grow and flourish. This essential reference publication highlights contemporary findings in the area of biologically-inspired techniques in data mining domains and their implementation in real-life problems. Providing quality work from established researchers, this publication serves to extend existing knowledge within the research communities of data mining and knowledge discovery, as well as for academicians and students in the field.

Author Biography:

Shafiq Alam University of Auckland, New Zealand
Release date Australia
June 30th, 2014
Audience
  • Professional & Vocational
Contributor
  • Edited by Shafiq Alam
Pages
375
Dimensions
216x279x22
ISBN-13
9781466660786
Product ID
22623336

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