Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12322)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: SUM 2020.
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About this book
This book constitutes the refereed proceedings of the 14th International Conference on Scalable Uncertainty Management, SUM 2020, which was held in Bozen-Bolzano, Italy, in September 2020.
The 12 full, 7 short papers presented in this volume were carefully reviewed and selected from 30 submissions. Besides that, the book also contains 2 abstracts of invited talks, 2 tutorial papers, and 2 PhD track papers. The conference aims to gather researchers with a common interest in managing and analyzing imperfect information from a wide range of fields, such as artificial intelligence and machine learning, databases, information retrieval and data mining, the semantic web and risk analysis.
Due to the Corona pandemic SUM 2020 was held as an virtual event.
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Keywords
- artificial intelligence
- knowledge representation and reasoning
- data management systems
- probabilistic representations
- uncertainty
- information retrieval
- machine learning
- logic
- semantics and reasoning
- bayesian networks
- computer hardware
- computer systems
- engineering
- formal logic
- knowledge-based system
- mathematics
- probability
- probability distribution
- semantics
- signal processing
Table of contents (23 papers)
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Front Matter
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Regular Papers
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Front Matter
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Other volumes
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Scalable Uncertainty Management
Editors and Affiliations
Bibliographic Information
Book Title: Scalable Uncertainty Management
Book Subtitle: 14th International Conference, SUM 2020, Bozen-Bolzano, Italy, September 23–25, 2020, Proceedings
Editors: Jesse Davis, Karim Tabia
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-58449-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-58448-1Published: 03 September 2020
eBook ISBN: 978-3-030-58449-8Published: 16 September 2020
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 297
Number of Illustrations: 183 b/w illustrations, 25 illustrations in colour
Topics: Artificial Intelligence, Mathematics of Computing, Machine Learning, Computer Communication Networks, Computer System Implementation, Data Mining and Knowledge Discovery