Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10758)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Conference series link(s): IUKM: International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making
Conference proceedings info: IUKM 2018.
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Table of contents (39 papers)
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Front Matter
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Uncertainty Management and Decision Support
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Front Matter
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Clustering and Classification
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Front Matter
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Machine Learning Applications
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Front Matter
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About this book
The 39 revised full papers presented in this book were carefully reviewed and selected from 76 initial submissions. The papers are organized in topical sections on uncertainty management and decision support; clustering and classification; machine learning applications; statistical methods; and econometric applications.
Editors and Affiliations
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Japan Advanced Institute of Science and Technology, Nomi, Japan
Van-Nam Huynh
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Osaka University, Osaka, Japan
Masahiro Inuiguchi
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Hanoi National University of Education, Hanoi, Vietnam
Dang Hung Tran
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Université de Technologie de Compiègne, Compiègne, France
Thierry Denoeux
Bibliographic Information
Book Title: Integrated Uncertainty in Knowledge Modelling and Decision Making
Book Subtitle: 6th International Symposium, IUKM 2018, Hanoi, Vietnam, March 15-17, 2018, Proceedings
Editors: Van-Nam Huynh, Masahiro Inuiguchi, Dang Hung Tran, Thierry Denoeux
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-75429-1
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Softcover ISBN: 978-3-319-75428-4Published: 04 February 2018
eBook ISBN: 978-3-319-75429-1Published: 09 March 2018
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXII, 478
Number of Illustrations: 115 b/w illustrations
Topics: Artificial Intelligence, e-Commerce/e-business, Probability and Statistics in Computer Science, Natural Language Processing (NLP), Natural Language Processing (NLP), Data Mining and Knowledge Discovery