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Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11676)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: MDAI 2019.
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About this book
The 30 papers presented in this volume were carefully reviewed and selected from 50 submissions. They discuss different facets of decision processes in a broad sense and present research in data science, data privacy, aggregation functions, human decision making, graphs and social networks, and recommendation and search. The papers are organized in the following topical sections: aggregation operators and decision making; data science and data mining; and data privacy and security.
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Keywords
- aggregation operator
- anonymization
- artificial intelligence
- cluster
- clustering
- clustering algorithms
- data mining
- data privacy
- data security
- decision support systems
- fuzzy logic
- fuzzy rules
- fuzzy sets
- fuzzy systems
- information retrieval
- knowledge-based system
- privacy preserving
- probability
- recommender systems
- social networks
Table of contents (30 papers)
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Aggregation Operators and Decision Making
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Data Science and Data Mining
Other volumes
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Modeling Decisions for Artificial Intelligence
Editors and Affiliations
Bibliographic Information
Book Title: Modeling Decisions for Artificial Intelligence
Book Subtitle: 16th International Conference, MDAI 2019, Milan, Italy, September 4–6, 2019, Proceedings
Editors: Vicenç Torra, Yasuo Narukawa, Gabriella Pasi, Marco Viviani
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-26773-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-26772-8Published: 24 July 2019
eBook ISBN: 978-3-030-26773-5Published: 26 August 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIX, 357
Number of Illustrations: 158 b/w illustrations, 43 illustrations in colour
Topics: Artificial Intelligence, Data Mining and Knowledge Discovery, Mathematical Logic and Formal Languages, Information Storage and Retrieval, Probability and Statistics in Computer Science