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.
| ISBN: | 9783030584481 |
| Publication date: | 3rd September 2020 |
| Author: | Jesse Davis |
| Publisher: | Springer Nature Switzerland AG |
| Format: | Paperback |
| Pagination: | 297 pages |
| Series: | Lecture Notes in Artificial Intelligence |
| Genres: |
Artificial intelligence Maths for computer scientists Machine learning Network hardware Systems analysis and design Data mining Expert systems / knowledge-based systems |