Scalable Uncertainty Management

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14th International Conference, SUM 2020, Bozen-Bolzano, Italy, September 23-25,2020, Proceedings, Lecture Notes in Computer Science 12322 – Lecture Notes in Artificial Intelligence

ISBN: 3030584488
ISBN 13: 9783030584481
Herausgeber: Jesse Davis/Karim Tabia
Verlag: Springer Verlag GmbH
Umfang: xiv, 297 S., 183 s/w Illustr., 25 farbige Illustr., 297 p. 208 illus., 25 illus. in color.
Erscheinungsdatum: 03.09.2020
Auflage: 1/2020
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 9693561 Kategorie:

Beschreibung

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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E-Mail: juergen.hartmann@springer.com

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