Data Mining and Knowledge Discovery with Evolutionary Algorithms (Natural Computing Series) - Tapa dura

Freitas, Alex A.

 
9783540433316: Data Mining and Knowledge Discovery with Evolutionary Algorithms (Natural Computing Series)
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ISBN 10: 3540433317 ISBN 13: 9783540433316
Editorial: Springer, 2002

Sinopsis

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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De la contraportada

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.

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Editorial
Springer
Año de publicación
2002
Idioma
Inglés
ISBN 10 
3540433317
ISBN 13 
9783540433316
Encuadernación
Tapa dura
Número de páginas
280
Contacto del fabricante
no disponible
Persona responsable
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Alemania

Otras ediciones populares con el mismo título

9783642077630: Data Mining And Knowledge Discovery With Evolutionary Algorithms (Natural Computing Series)

Edición Destacada

ISBN 10:  3642077633 ISBN 13:  9783642077630
Editorial: Springer, 2012
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