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Scalable Uncertainty Management

15th International Conference, SUM 2022, Paris, France, October 17–19, 2022, Proceedings

  • Conference proceedings
  • © 2022


Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13562)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: SUM 2022.

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About this book

This book constitutes the refereed proceedings of the 15th International Conference on Scalable Uncertainty Management, SUM 2022, which was held in Paris, France, in October 2022.

The 19 full and 4 short papers presented in this volume were carefully reviewed and selected from 25 submissions. Besides that, the book also contains 3 abstracts of invited talks and 2 tutorial 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.

The chapter "Defining and Enforcing Descriptive Accuracy in Explanations: the Case of Probabilistic Classifiers" is licensed under the terms of the Creative Commons Attribution 4.0 International License.

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Table of contents (25 papers)

  1. Full Papers: Non-classical Reasoning

  2. Full Papers: Inconsistency

  3. Full Papers: Decision Making and Social Choice

  4. Full Papers: Learning

Other volumes

  1. Scalable Uncertainty Management

Editors and Affiliations

  • IRIT-Université Toulouse, Toulouse, France

    Florence Dupin de Saint-Cyr

  • Université Paris-Dauphine - PSL, Paris, France

    Meltem Öztürk-Escoffier

  • Imperial College London, London, UK

    Nico Potyka

Bibliographic Information

  • Book Title: Scalable Uncertainty Management

  • Book Subtitle: 15th International Conference, SUM 2022, Paris, France, October 17–19, 2022, Proceedings

  • Editors: Florence Dupin de Saint-Cyr, Meltem Öztürk-Escoffier, Nico Potyka

  • Series Title: Lecture Notes in Computer Science

  • DOI:

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Softcover ISBN: 978-3-031-18842-8Published: 15 October 2022

  • eBook ISBN: 978-3-031-18843-5Published: 14 October 2022

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XVII, 371

  • Number of Illustrations: 18 b/w illustrations, 19 illustrations in colour

  • Topics: Artificial Intelligence

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