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Modeling Decisions for Artificial Intelligence - 17th International Conference, MDAI 2020, Sant Cugat, Spain, September 2-4, 2020, Proceedings (Paperback, 1st ed. 2020) Loot Price: R1,413
Discovery Miles 14 130
Repayment Terms: R132 pm x 12*
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Modeling Decisions for Artificial Intelligence - 17th International Conference, MDAI 2020, Sant Cugat, Spain, September 2-4,...

Modeling Decisions for Artificial Intelligence - 17th International Conference, MDAI 2020, Sant Cugat, Spain, September 2-4, 2020, Proceedings (Paperback, 1st ed. 2020)

Vicenc Torra, Yasuo Narukawa, Jordi Nin, Nuria Agell

Series: Lecture Notes in Computer Science, 12256

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Loot Price R1,413 Discovery Miles 14 130 | Repayment Terms: R132 pm x 12*

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This book constitutes the refereed proceedings of the 17th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2020, held in Sant Cugat, Spain, in September 2020.* The 24 papers presented in this volume were carefully reviewed and selected from 46 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, and data science and data mining. * The conference was canceled due to the COVID-19 pandemic.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Lecture Notes in Computer Science, 12256
Release date: August 2020
First published: 2020
Editors: Vicenc Torra • Yasuo Narukawa • Jordi Nin • Nuria Agell
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 299
Edition: 1st ed. 2020
ISBN-13: 978-3-03-057523-6
Categories: Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Computing & IT > Computer communications & networking > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-03-057523-3
Barcode: 9783030575236

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