Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11940)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: SUM 2019.
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
This book constitutes the refereed proceedings of the 13th International Conference on Scalable Uncertainty Management, SUM 2019, which was held in Compiègne, France, in December 2019.
The 25 full, 4 short, 4 tutorial, 2 invited keynote papers presented in this volume were carefully reviewed and selected from 44 submissions. The conference is dedicated to the management of large amounts of complex, uncertain, incomplete, or inconsistent information. New approaches have been developed on imprecise probabilities, fuzzy set theory, rough set theory, ordinal uncertainty representations, or even purely qualitative models.
Similar content being viewed by others
Keywords
Table of contents (33 papers)
Other volumes
-
Scalable Uncertainty Management
Editors and Affiliations
Bibliographic Information
Book Title: Scalable Uncertainty Management
Book Subtitle: 13th International Conference, SUM 2019, Compiègne, France, December 16–18, 2019, Proceedings
Editors: Nahla Ben Amor, Benjamin Quost, Martin Theobald
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-35514-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-35513-5Published: 21 November 2019
eBook ISBN: 978-3-030-35514-2Published: 02 December 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 452
Number of Illustrations: 163 b/w illustrations, 57 illustrations in colour
Topics: Artificial Intelligence, Logics and Meanings of Programs, Probability and Statistics in Computer Science