[PDF.55do] Biologically-Inspired Techniques for Knowledge Discovery and Data Mining
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Biologically-Inspired Techniques for Knowledge Discovery and Data Mining
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| Ingramcontent | 2014-05-31 | Original language:English | PDF # 1 | 11.02 x.88 x8.50l, | File type: PDF | 375 pages | Biologically Inspired Techniques for Knowledge Discovery and Data Mining||About the Author|Shafiq Alam received his Ph.D. degree from the University of Auckland and is currently working as a research fellow in the Department of Computer Science, University of Auckland. His research interests include optimization based data mini
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.
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