Integrated Uncertainty in Knowledge Modelling and Decision Making [[electronic resource] ] : 7th International Symposium, IUKM 2019, Nara, Japan, March 27–29, 2019, Proceedings / / edited by Hirosato Seki, Canh Hao Nguyen, Van-Nam Huynh, Masahiro Inuiguchi

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
• Edizione: 1st ed. 2019.
• Descrizione fisica: 1 online resource (XX, 444 p. 160 illus., 84 illus. in color.)
• Disciplina: 003.54
• Soggetto topico: Artificial intelligence; Mathematical logic; Algorithms; Data mining; Computer science—Mathematics; Numerical analysis; Artificial Intelligence; Mathematical Logic and Formal Languages; Algorithm Analysis and Problem Complexity; Data Mining and Knowledge Discovery; Math Applications in Computer Science; Numeric Computing
• Persona (resp. second.): SekiHirosato; NguyenCanh Hao; HuynhVan-Nam; InuiguchiMasahiro
• Sommario/riassunto: This book constitutes the refereed proceedings of the 7th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2019, held in Nara, Japan, in March 2019. The 37 revised full papers presented were carefully reviewed and selected from 93 submissions. The papers deal with all aspects of uncertainty modelling and management and are organized in topical sections on uncertainty management and decision support; econometrics; machine learning; machine learning applications; and statistical methods.
• Titolo autorizzato: Integrated uncertainty in knowledge modelling and decision making
• ISBN: 3-030-14815-7
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996466432803316
• Lo trovi qui: Univ. di Salerno
• Serie: Lecture Notes in Artificial Intelligence ; ; 11471