Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9858)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: SUM 2016.
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About this book
This book constitutes the refereed proceedings of the 10th International Conference on Scalable Uncertainty Management, SUM 2016, held in Nice, France, in September 2016.
The 18 regular papers and 5 short papers were carefully reviewed and selected from 35 submissions. Papers are solicited in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information. These include (but are not restricted to) applications in decision support systems, risk analysis, machine learning, belief networks, logics of uncertainty, belief revision and update, argumentation, negotiation technologies, semantic web applications, search engines, ontology systems, information fusion, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.
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Keywords
- fuzzy databases
- heuristic information
- multiple-agent logic
- probabilistic databases
- reinforcement learning
- approximate reasoning
- argumentation
- artificial intelligence
- data provenance
- dempster-shafer theory
- fuzzy logic
- imperfect information
- learning to rank
- probabilistic logic programming
- probabilistic models
- risk analysis
- similarity
- statistical relational learning
- translations
- uncertainty
Table of contents (27 papers)
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Invited Surveys
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Regular Papers
Other volumes
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Scalable Uncertainty Management
Editors and Affiliations
Bibliographic Information
Book Title: Scalable Uncertainty Management
Book Subtitle: 10th International Conference, SUM 2016, Nice, France, September 21-23, 2016, Proceedings
Editors: Steven Schockaert, Pierre Senellart
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-45856-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Softcover ISBN: 978-3-319-45855-7Published: 30 August 2016
eBook ISBN: 978-3-319-45856-4Published: 29 August 2016
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 361
Number of Illustrations: 64 b/w illustrations
Topics: Artificial Intelligence, Database Management, Information Systems Applications (incl. Internet), Information Storage and Retrieval, Mathematical Logic and Formal Languages, Algorithm Analysis and Problem Complexity