Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10571)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: MDAI 2017.
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Table of contents (19 papers)
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Invited Paper
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Aggregation Operators, Fuzzy Measures and Integrals
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Clustering and Classification
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Data Mining and Applications
Other volumes
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Modeling Decisions for Artificial Intelligence
Keywords
About this book
The 18 revised full papers presented together with one invited paper and three abstracts of invited talks were carefully reviewed and selected from 30 submissions. Providing a forum for researchers to discuss models for decision and information fusion (aggregation operators) and their applications to AI, the papers are organized in topical sections on aggregation operators, fuzzy measures and integrals; clustering and classication; data privacy and security; data mining and applications.
Editors and Affiliations
Bibliographic Information
Book Title: Modeling Decisions for Artificial Intelligence
Book Subtitle: 14th International Conference, MDAI 2017, Kitakyushu, Japan, October 18-20, 2017, Proceedings
Editors: Vicenç Torra, Yasuo Narukawa, Aoi Honda, Sozo Inoue
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-67422-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-67421-6Published: 13 September 2017
eBook ISBN: 978-3-319-67422-3Published: 12 September 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVIII, 235
Number of Illustrations: 57 b/w illustrations
Topics: Artificial Intelligence, Pattern Recognition, Data Mining and Knowledge Discovery, Information Systems Applications (incl. Internet), Information Storage and Retrieval, Numeric Computing
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