Scalable Uncertainty Management [electronic resource] :12th International Conference, SUM 2018, Milan, Italy, October 3-5, 2018, Proceedings /
Contributor(s): Ciucci, Davide [editor.] | Pasi, Gabriella [editor.] | Vantaggi, Barbara [editor.] | SpringerLink (Online service).Material type: BookSeries: Lecture Notes in Artificial Intelligence: 11142Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018.Description: XI, 413 p. 53 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030004613.Subject(s): Computer Science | Artificial intelligence | Computer science | Logic design | Artificial Intelligence | Mathematical Logic and Formal Languages | Logics and Meanings of Programs | Probability and Statistics in Computer Science | Programming Languages, Compilers, Interpreters | Programming TechniquesOnline resources: Click here to access online
Answer Set Programming -- Bayesian Networks -- Data Integration -- Decision Making -- Information Theory -- Logic Programming -- Ontology -- Rank Aggregation -- Uncertainty -- Clustering -- Fuzzy logic.
This book constitutes the refereed proceedings of the 12th International Conference on Scalable Uncertainty Management, SUM 2018, which was held in Milan, Italy, in October 2018. The 23 full, 6 short papers and 2 tutorials presented in this volume were carefully reviewed and selected from 37 submissions. The conference is dedicated to the management of large amounts of complex, uncertain, incomplete, or inconsistent information. New approaches have been developed on imprecise probabilities, fuzzy set theory, rough set theory, ordinal uncertainty representations, or even purely qualitative models.