Biologically-Inspired Techniques for Knowledge Discovery and Data Mining

Nonfiction, Computers, Database Management, Information Storage & Retrievel, General Computing
Cover of the book Biologically-Inspired Techniques for Knowledge Discovery and Data Mining by , IGI Global
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Author: ISBN: 9781466660809
Publisher: IGI Global Publication: May 31, 2014
Imprint: Information Science Reference Language: English
Author:
ISBN: 9781466660809
Publisher: IGI Global
Publication: May 31, 2014
Imprint: Information Science Reference
Language: English
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.
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
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.

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