Biologically-Inspired Techniques for Knowledge Discovery and Data Mining. Questo articolo non è disponibile.
Lingua: inglese
Editore: Igi Global Scientific Publishing, 2014
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Codice articolo 21292637-n
- Titolo
- Biologically-Inspired Techniques for Knowledge Discovery and Data Mining
- Autore
- Alam, Shafiq (EDT); Dobbie, Gillian (EDT); Koh, Yun Sing (EDT); Rehman, Saeed ur (EDT)
- Editore
- Igi Global Scientific Publishing
- Anno di pubblicazione
- 2014
- Condizione
- New
- Rilegatura
- Rilegato
- Lingua
- inglese
- ISBN 10
- 1466660783
- ISBN 13
- 9781466660786
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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