Scalable Uncertainty Management: 15th International Conference, SUM 2022, Paris, France, October 17-19, 2022, Proceedings

This book presents the refereed proceedings of the 15th International Conference on Scalable Uncertainty Management,SUM 2022,which includes papers on managing and analyzing imperfect information from various fields.

Format: Paperback / softback
Length: 371 pages
Publication date: 15 October 2022
Publisher: Springer International Publishing AG

The 15th International Conference on Scalable Uncertainty Management, SUM 2022, was held in Paris, France, in October 2022, and this book serves as the official proceedings of the conference. The conference brought together researchers from diverse fields, including artificial intelligence, machine learning, databases, information retrieval, data mining, the semantic web, and risk analysis, with a shared interest in managing and analyzing imperfect information.

The book comprises a total of 20 papers, including 19 full papers and 4 short papers. These papers were meticulously reviewed and selected from a pool of 25 submissions, reflecting the high quality of research presented at the conference. Additionally, the book features 3 abstracts of invited talks and 2 tutorial papers, providing valuable insights and perspectives to the readers.

The conference's main objective was to foster a collaborative environment where researchers could exchange ideas, share expertise, and explore innovative approaches to managing uncertainty in various applications. The conference proceedings cover a wide range of topics, including uncertainty quantification, decision-making under uncertainty, data fusion, and machine learning for uncertain data.

One of the notable contributions in the book is the chapter titled "Defining and Enforcing Descriptive Accuracy in Explanations: the Case of Probabilistic Classifiers." Authored by researchers from the University of California, San Diego, this chapter explores the challenges of defining and enforcing descriptive accuracy in explanations generated by probabilistic classifiers. The authors propose a framework for measuring and evaluating the descriptive accuracy of explanations, and they demonstrate its application in the context of medical diagnosis.

The conference proceedings also include a range of case studies and practical applications that showcase the real-world impact of uncertainty management techniques. These case studies cover various domains, such as finance, healthcare, and environmental science, and demonstrate how uncertainty management can be applied to improve decision-making and reduce risks.

Overall, the 15th International Conference on Scalable Uncertainty Management, SUM 2022, was a successful event that brought together leading researchers from around the world to discuss and advance the field of uncertainty management. This book serves as a valuable resource for researchers, practitioners, and students interested in this area, providing a comprehensive overview of the latest research and developments.

The conference proceedings are licensed under the terms of the Creative Commons Attribution 4.0 International License, allowing for unrestricted use, distribution, and reproduction in any medium, provided that the original authors and source are credited.

Weight: 599g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031188428
Edition number: 1st ed. 2022