Modeling Decisions for Artificial Intelligence 16th International Conference, MDAI 2019, Milan, Italy, September 4–6, 2019, Proceedings /
Modeling Decisions for Artificial Intelligence 16th International Conference, MDAI 2019, Milan, Italy, September 4–6, 2019, Proceedings / [electronic resource] :
edited by Vicenç Torra, Yasuo Narukawa, Gabriella Pasi, Marco Viviani.
- 1st ed. 2019.
- XIX, 357 p. 201 illus., 43 illus. in color. online resource.
- Lecture Notes in Artificial Intelligence, 11676 2945-9141 ; .
- Lecture Notes in Artificial Intelligence, 11676 .
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. .
9783030267735
10.1007/978-3-030-26773-5 doi
Artificial intelligence.
Data mining.
Machine theory.
Information storage and retrieval systems.
Computer science--Mathematics.
Mathematical statistics.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Formal Languages and Automata Theory.
Information Storage and Retrieval.
Probability and Statistics in Computer Science.
Q334-342 TA347.A78
006.3
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. .
9783030267735
10.1007/978-3-030-26773-5 doi
Artificial intelligence.
Data mining.
Machine theory.
Information storage and retrieval systems.
Computer science--Mathematics.
Mathematical statistics.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Formal Languages and Automata Theory.
Information Storage and Retrieval.
Probability and Statistics in Computer Science.
Q334-342 TA347.A78
006.3