Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6408)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Conference series link(s): MDAI: International Conference on Modeling Decisions for Artificial Intelligence
Conference proceedings info: MDAI 2010.
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Table of contents (28 papers)
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Front Matter
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Regular Papers
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Aggregation Operators and Decision Making
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Clustering and Similarity
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About this book
Conference on Modeling Decisions for Artificial Intelligence, MDAI 2010,
held in Perpignan, France, in October 2010.
The 25 papers presented were carefully reviewed and selected from 43
submissions. The volume also contains extended abstracts of the three
invited papers. The topics covered are aggregation operators and
decision making; clustering and similarity; computational intelligence;
and data privacy.
Keywords
- Computational Intelligence
- Kernel
- artificial intelligence
- learning
- modeling
- ontology
- supervised learning
Editors and Affiliations
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IIIA-CSIC, Bellaterra, Spain
Vicenç Torra
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Toho Gakuen, Tokyo, Japan
Yasuo Narukawa
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Université de Perpignan, Tecnosud, Perpignan, France
Marc Daumas
Bibliographic Information
Book Title: Modeling Decisions for Artificial Intelligence
Book Subtitle: 7th International Conference, MDAI 2010, Perpignan, France, October 27-29, 2010, Proceedings
Editors: Vicenç Torra, Yasuo Narukawa, Marc Daumas
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-642-16292-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Berlin Heidelberg 2010
Softcover ISBN: 978-3-642-16291-6Published: 19 October 2010
eBook ISBN: 978-3-642-16292-3Published: 31 October 2010
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 299
Number of Illustrations: 81 b/w illustrations
Topics: Artificial Intelligence, Computer and Information Systems Applications, Information Storage and Retrieval, Database Management, Theory of Computation, Data Mining and Knowledge Discovery