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Scalable Uncertainty Management [[electronic resource] ] : 12th International Conference, SUM 2018, Milan, Italy, October 3-5, 2018, Proceedings / / edited by Davide Ciucci, Gabriella Pasi, Barbara Vantaggi



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Titolo: Scalable Uncertainty Management [[electronic resource] ] : 12th International Conference, SUM 2018, Milan, Italy, October 3-5, 2018, Proceedings / / edited by Davide Ciucci, Gabriella Pasi, Barbara Vantaggi Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Edizione: 1st ed. 2018.
Descrizione fisica: 1 online resource (XI, 413 p. 53 illus.)
Disciplina: 006.3
Soggetto topico: Artificial intelligence
Mathematical logic
Computer logic
Mathematical statistics
Programming languages (Electronic computers)
Computer programming
Artificial Intelligence
Mathematical Logic and Formal Languages
Logics and Meanings of Programs
Probability and Statistics in Computer Science
Programming Languages, Compilers, Interpreters
Programming Techniques
Persona (resp. second.): CiucciDavide
PasiGabriella
VantaggiBarbara
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Answer Set Programming -- Bayesian Networks -- Data Integration -- Decision Making -- Information Theory -- Logic Programming -- Ontology -- Rank Aggregation -- Uncertainty -- Clustering -- Fuzzy logic.
Sommario/riassunto: 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.
Titolo autorizzato: Scalable Uncertainty Management  Visualizza cluster
ISBN: 3-030-00461-9
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910349403303321
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Serie: Lecture Notes in Artificial Intelligence ; ; 11142