Integrated Uncertainty in Knowledge Modelling and Decision Making [[electronic resource] ] : 6th International Symposium, IUKM 2018, Hanoi, Vietnam, March 15-17, 2018, Proceedings / / edited by Van-Nam Huynh, Masahiro Inuiguchi, Dang Hung Tran, Thierry Denoeux

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
• Edizione: 1st ed. 2018.
• Descrizione fisica: 1 online resource (XXII, 478 p. 115 illus.)
• Disciplina: 003.54
• Soggetto topico: Artificial intelligence; E-commerce; Mathematical statistics; Natural language processing (Computer science); Data mining; Artificial Intelligence; e-Commerce/e-business; Probability and Statistics in Computer Science; Natural Language Processing (NLP); Data Mining and Knowledge Discovery
• Persona (resp. second.): HuynhVan-Nam; InuiguchiMasahiro; TranDang Hung; DenoeuxThierry
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Uncertainty management and decision support -- Clustering and classification -- Machine learning applications.- Statistical methods -- Econometric applications.
• Sommario/riassunto: This book constitutes the refereed proceedings of the 6th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2018, held in Hanoi, Vietnam, in March 2018. The 39 revised full papers presented in this book were carefully reviewed and selected from 76 initial submissions. The papers are organized in topical sections on uncertainty management and decision support; clustering and classification; machine learning applications; statistical methods; and econometric applications.
• Titolo autorizzato: Integrated Uncertainty in Knowledge Modelling and Decision Making
• ISBN: 3-319-75429-7
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996465517303316
• Lo trovi qui: Univ. di Salerno
• Serie: Lecture Notes in Artificial Intelligence ; ; 10758