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Hybrid Artificial Intelligence Systems : 4th International Conference, HAIS 2009, Salamanca, Spain, June 10-12, 2009, Proceedings / edited by Emilio Corchado, Xindong Wu, Erkki Oja, Bruno Baruque.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

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Format:
Book
Contributor:
Corchado, Emilio, editor.
Wu, Xindong, editor.
Oja, Erkki, editor.
Baruque, Bruno, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence ; 5572.
Lecture Notes in Artificial Intelligence ; 5572
Language:
English
Subjects (All):
Computer programming.
Data mining.
Computer engineering.
Artificial intelligence.
Application software.
Algorithms.
Programming Techniques.
Data Mining and Knowledge Discovery.
Computer Engineering.
Artificial Intelligence.
Information Systems Applications (incl. Internet).
Algorithm Analysis and Problem Complexity.
Local Subjects:
Programming Techniques.
Data Mining and Knowledge Discovery.
Computer Engineering.
Artificial Intelligence.
Information Systems Applications (incl. Internet).
Algorithm Analysis and Problem Complexity.
Physical Description:
1 online resource (XXII, 715 pages).
Edition:
First edition 2009.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
System Details:
text file PDF
Summary:
This volume constitutes the refereed proceedings of the 4th International Workshop on Hybrid Artificial Intelligence Systems, HAIS 2009, held in Salamanca, Spain, in June 2009. The 85 papers presented, were carefully reviewed and selected from 206 submissions. The topics covered are agents and multi agents systems, HAIS applications, cluster analysis, data mining and knowledge discovery, evolutionary computation, learning algorithms, real world HAIS applications and data uncertainty, hybrid artificial intelligence in bioinformatics, evolutionary multiobjective machine learning, hybrid reasoning and coordination methods on multi-agent systems, methods of classifiers fusion, knowledge extraction based on evolutionary learning, hybrid systems based on bioinspired algorithms and argumentation methods, hybrid evolutionry intelligence in financial engineering.
Contents:
Agents and Multi Agents Systems
HAIS Applications
Cluster Analysis
Data Mining and Knowledge Discovery
Evolutionary Computation
Learning Algorithms
Special Session.
Other Format:
Printed edition:
ISBN:
978-3-642-02319-4
9783642023194
Access Restriction:
Restricted for use by site license.

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