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Scalable Uncertainty Management

11th International Conference, SUM 2017, Granada, Spain, October 4-6, 2017, Proceedings

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Scalable Uncertainty Management
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Description

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.
Release date NZ
September 14th, 2017
Contributors
Edited by Daniel Sanchez Edited by Nicolas Marin Edited by Olivier Pivert Edited by Serafin Moral
Pages
438
Edition
1st ed. 2017
Illustrations
57 Illustrations, black and white; XIX, 438 p. 57 illus.
Country of Publication
Switzerland
Imprint
Springer International Publishing AG
ISBN-13
9783319675817
Product ID
26881618

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