Modeling decisions for artificial intelligence : 16th international conference, MDAI 2019, Milan, Italy, September 4-6, 2019 : proceedings /

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Bibliographic Details
Meeting name:	MDAI (Conference) (16th : 2019 : Milan, Italy)
Imprint:	Cham : Springer, [2019] ©2019
Description:	1 online resource : illustrations (some color)
Language:	English
Series:	Lecture notes in artificial intelligence ; 11676 Lecture notes in computer science. Lecture notes in artificial intelligence. Lecture notes in computer science ; 11676.
Subject:	Artificial intelligence -- Mathematical models -- Congresses. Decision making -- Mathematical models -- Congresses. Computer simulation -- Congresses. Artificial intelligence -- Mathematical models. Computer simulation. Decision making -- Mathematical models. Conference papers and proceedings. Conference papers and proceedings.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11938826

Hidden Bibliographic Details
Other authors / contributors:	Torra, Vicenç, editor. Narukawa, Yasuo, editor. Pasi, Gabriella, 1961- editor. Viviani, Marco, editor.
ISBN:	9783030267735 3030267733 9783030267728 3030267725 9783030267728 9783030267742 3030267741
Digital file characteristics:	text file PDF
Notes:	Includes bibliographical references and index. Online resource; title from PDF title page (SpringerLink, viewed September 11, 2019).
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 form:	Printed edition: 9783030267728 Printed edition: 9783030267742
Standard no.:	10.1007/978-3-030-26773-5

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