Integrated Uncertainty in Knowledge Modelling and Decision Making

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7th International Symposium, IUKM 2019, Nara, Japan, March 27-29,2019, Proceedings, Lecture Notes in Computer Science 11471 – Lecture Notes in Artificial Intelligence

ISBN: 3030148149
ISBN 13: 9783030148140
Herausgeber: Hirosato Seki/Canh Hao Nguyen/Van-Nam Huynh et al
Verlag: Springer Verlag GmbH
Umfang: xx, 444 S., 76 s/w Illustr., 84 farbige Illustr., 444 p. 160 illus., 84 illus. in color.
Erscheinungsdatum: 07.03.2019
Auflage: 1/2019
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 6307684 Kategorie:

Beschreibung

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.

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E-Mail: juergen.hartmann@springer.com

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