Data Mining And Knowledge Discovery With Evolutionary Algorithms (Natural Computing Series) - Couverture souple
Synopsis
This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an active research area. In general, data mining consists of extracting knowledge from data. The motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions. This book emphasizes the importance of discovering comprehensible, interesting knowledge, which is potentially useful for intelligent decision making. The text explains both basic concepts and advanced topics
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Présentation de l'éditeur
This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an active research area. In general, data mining consists of extracting knowledge from data. The motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions. This book emphasizes the importance of discovering comprehensible, interesting knowledge, which is potentially useful for intelligent decision making. The text explains both basic concepts and advanced topics
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Data Mining and Knowledge Discovery with Evolutionary Algorithms (Natural Computing Series)
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Data Mining and Knowledge Discovery With Evolutionary Algorithms
Edité par
Springer, 2002
ISBN 10 : 3642077633
ISBN 13 : 9783642077630
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Couverture souple
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Etat : Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,550grams, ISBN:9783642077630. N° de réf. du vendeur 5556647
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Data Mining and Knowledge Discovery with Evolutionary Algorithms (Natural Computing Series)
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Data Mining and Knowledge Discovery with Evolutionary Algorithms (Natural Computing Series)
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Data Mining and Knowledge Discovery with Evolutionary Algorithms
Edité par
Springer Berlin Heidelberg Mrz 2012, 2012
ISBN 10 : 3642077633
ISBN 13 : 9783642077630
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an area of active research. In general, data mining consists of extracting knowledge from data. In this book we particularly emphasize the importance of discovering comprehensible and interesting knowledge, which is potentially useful to the reader for intelligent decision making. In a nutshell, the motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions (rules or another form of knowledge representation). In contrast, most rule induction methods perform a local, greedy search in the space of candidate rules. Intuitively, the global search of evolutionary algorithms can discover interesting rules and patterns that would be missed by the greedy search. This book presents a comprehensive review of basic concepts on both data mining and evolutionary algorithms and discusses significant advances in the integration of these two areas. It is self-contained, explaining both basic concepts and advanced topics. This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an active research area. In general, data mining consists of extracting knowledge from data. The motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions. This book emphasizes the importance of discovering comprehensible, interesting knowledge, which is potentially useful for intelligent decision making. The text explains both basic concepts and advanced topics 280 pp. Englisch. N° de réf. du vendeur 9783642077630
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Data Mining and Knowledge Discovery with Evolutionary Algorithms
Edité par
Springer Berlin Heidelberg, 2012
ISBN 10 : 3642077633
ISBN 13 : 9783642077630
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book integrates two areas of computer science, namely data mining and evolutionary algorithms (EAs). In essence, data mining consists of extracting interesting knowledge from data. The book presents a comprehensive review of both data mining and EAs an. N° de réf. du vendeur 5046823
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Data Mining and Knowledge Discovery with Evolutionary Algorithms
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Etat : New. pp. 280. N° de réf. du vendeur 262459006
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Data Mining and Knowledge Discovery with Evolutionary Algorithms
impression à la demandeVendeur : Majestic Books, Hounslow, Royaume-Uni
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Etat : New. Print on Demand pp. 280 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam. N° de réf. du vendeur 5388961
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Data Mining and Knowledge Discovery with Evolutionary Algorithms
impression à la demandeVendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Etat : New. PRINT ON DEMAND pp. 280. N° de réf. du vendeur 182458996
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Data Mining and Knowledge Discovery With Evolutionary Algorithms
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Paperback. Etat : Brand New. reprint edition. 264 pages. 8.75x6.00x0.75 inches. In Stock. N° de réf. du vendeur x-3642077633
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