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Modeling Decisions for Artificial Intelligence : 16th International Conference, MDAI 2019, Milan, Italy, September 4-6, 2019, Proceedings / edited by Vicenç Torra, Yasuo Narukawa, Gabriella Pasi, Marco Viviani.
SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online
View online- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence ; 11676.
- Lecture Notes in Artificial Intelligence ; 11676
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Data mining.
- Logic, Symbolic and mathematical.
- Information storage and retrieval.
- Mathematical statistics.
- Artificial Intelligence.
- Data Mining and Knowledge Discovery.
- Mathematical Logic and Formal Languages.
- Information Storage and Retrieval.
- Probability and Statistics in Computer Science.
- Local Subjects:
- Artificial Intelligence.
- Data Mining and Knowledge Discovery.
- Mathematical Logic and Formal Languages.
- Information Storage and Retrieval.
- Probability and Statistics in Computer Science.
- Physical Description:
- 1 online resource (XIX, 357 pages) : 201 illustrations, 43 illustrations in color.
- Edition:
- First edition 2019.
- Contained In:
- Springer eBooks
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2019.
- System Details:
- text file PDF
- Summary:
- This book constitutes the refereed proceedings of the 16th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2019, held in Milan, Italy, in September 2019. 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. .
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-26773-5
- 9783030267735
- Access Restriction:
- Restricted for use by site license.
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