Integrated Uncertainty in Knowledge Modelling and Decision Making [electronic resource] : 4th International Symposium, IUKM 2015, Nha Trang, Vietnam, October 15-17, 2015, Proceedings / edited by Van-Nam Huynh, Masahiro Inuiguchi, Thierry Demoeux.
Contributor(s): Huynh, Van-Nam [editor.]
| Inuiguchi, Masahiro [editor.] | Demoeux, Thierry [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Artificial Intelligence: 9376Publisher: Cham : Springer International Publishing : Imprint: Springer, 2015Edition: 1st ed. 2015.Description: XIV, 490 p. 106 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319251356.Subject(s): Artificial intelligence | Application software | Data mining | Algorithms | Database management | Artificial Intelligence | Computer and Information Systems Applications | Data Mining and Knowledge Discovery | Algorithms | Database ManagementAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
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Springer Nature eBookSummary: This book constitutes the refereed proceedings of the 4th International Symposium on Integrated Uncertainty in Knowledge Modeling and Decision Making, IUKM 2015, held in Nha Trang, Vietnam, in October 2015. The 40 revised full papers were carefully reviewed and selected from 58 submissions and are presented together with three keynote and invited talks. The papers provide a wealth of new ideas and report both theoretical and applied research on integrated uncertainty modeling and management.
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This book constitutes the refereed proceedings of the 4th International Symposium on Integrated Uncertainty in Knowledge Modeling and Decision Making, IUKM 2015, held in Nha Trang, Vietnam, in October 2015. The 40 revised full papers were carefully reviewed and selected from 58 submissions and are presented together with three keynote and invited talks. The papers provide a wealth of new ideas and report both theoretical and applied research on integrated uncertainty modeling and management.
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