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Automating the Design of Data Mining Algorithms: An Evolutionary Computation Approach - Softcover

 
9783642025426: Automating the Design of Data Mining Algorithms: An Evolutionary Computation Approach

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Synopsis

Data Mining.- Evolutionary Algorithms.- Genetic Programming for Classification and Algorithm Design.- Automating the Design of Rule Induction Algorithms.- Computational Results on the Automatic Design of Full Rule Induction Algorithms.- Directions for Future Research on the Automatic Design of Data Mining Algorithms.

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Review

From the reviews:

"The book is targeted at researchers and postgraduate students. As the amount of data being mined continues to grow it demands ever more sophisticated mining algorithms. Therefore there is a need for new algorithms and so Pappa and Freitas’ book will be of interest particularly to researchers in data mining. ... [T]his book will appeal to the target audience of [the journal] Genetic Programming and Evolvable Machines and, I feel, will align with the research interests of its readership." (John Woodward, Genetic Programming and Evolvable Machines (2011) 12:81–83)

“The book will be useful for postgraduate students and researchers in the data mining field and in evolutionary computation.” (Florin Gorunescu, Zentralblatt MATH, Vol. 1183, 2010)

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  • PublisherSpringer
  • Publication date2010
  • ISBN 10 3642025420
  • ISBN 13 9783642025426
  • BindingPaperback
  • LanguageEnglish
  • Number of pages204

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Other Popular Editions of the Same Title

9783642025402: Automating the Design of Data Mining Algorithms: An Evolutionary Computation Approach (Natural Computing Series)

Featured Edition

ISBN 10:  3642025404 ISBN 13:  9783642025402
Publisher: Springer, 2009
Hardcover