Scalable Uncertainty Management 12th International Conference, SUM 2018, Milan, Italy, October 3-5, 2018, Proceedings / [electronic resource] :
edited by Davide Ciucci, Gabriella Pasi, Barbara Vantaggi.
- 1st ed. 2018.
- XI, 413 p. 53 illus. online resource.
- Lecture Notes in Artificial Intelligence, 11142 2945-9141 ; .
- Lecture Notes in Artificial Intelligence, 11142 .
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.
9783030004613
10.1007/978-3-030-00461-3 doi
Artificial intelligence.
Machine theory.
Computer science.
Computer science--Mathematics.
Mathematical statistics.
Compilers (Computer programs).
Computer programming.
Artificial Intelligence.
Formal Languages and Automata Theory.
Computer Science Logic and Foundations of Programming.
Probability and Statistics in Computer Science.
Compilers and Interpreters.
Programming Techniques.
Q334-342 TA347.A78
006.3
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.
9783030004613
10.1007/978-3-030-00461-3 doi
Artificial intelligence.
Machine theory.
Computer science.
Computer science--Mathematics.
Mathematical statistics.
Compilers (Computer programs).
Computer programming.
Artificial Intelligence.
Formal Languages and Automata Theory.
Computer Science Logic and Foundations of Programming.
Probability and Statistics in Computer Science.
Compilers and Interpreters.
Programming Techniques.
Q334-342 TA347.A78
006.3