Scalable Uncertainty Management - 11th International Conference, SUM 2017, Granada, Spain, October 4-6, 2017, Proceedings (Paperback, 1st ed. 2017)

This book constitutes the refereed proceedings of the 11th International Conference on Scalable Uncertainty Management, SUM 2017, which was held in Granada, Spain, in October 2017. The 24 full and 6 short papers presented in this volume were carefully reviewed and selected from 35 submissions. The book also contains 3 invited papers. Managing uncertainty and inconsistency has been extensively explored in Artificial Intelligence over a number of years. Now, with the advent of massive amounts of data and knowledge from distributed, heterogeneous, and potentially conflicting sources, there is interest in developing and applying formalisms for uncertainty and inconsistency in systems that need to better manage this data and knowledge. The International Conference on Scalable Uncertainty (SUM) aims to provide a forum for researchers who are working on uncertainty management, in different communities and with different uncertainty models, to meet and exchange ideas.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Lecture Notes in Artificial Intelligence, 10564
Release date:	September 2017
First published:	2017
Editors:	Serafin Moral • Olivier Pivert • Daniel Sanchez • Nicolas Marin
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	438
Edition:	1st ed. 2017
ISBN-13:	978-3-319-67581-7
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Computing & IT > Computer programming > Software engineering Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-67581-8
Barcode:	9783319675817

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