Integrated Uncertainty in Knowledge Modelling and Decision Making [electronic resource] : International Symposium, IUKM 2013, Beijing, China, July 12-14, 2013, Proceedings / edited by Zengchang Qin, Van-Nam Huynh.
Contributor(s): Qin, Zengchang [editor.]
| Huynh, Van-Nam [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Artificial Intelligence: 8032Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Edition: 1st ed. 2013.Description: XII, 219 p. 61 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642395154.Subject(s): Artificial intelligence | Data mining | Algorithms | Artificial Intelligence | Data Mining and Knowledge Discovery | AlgorithmsAdditional 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 International Symposium on Integrated Uncertainty in Knowledge Modeling and Decision Making, IUKM 2013, held in Beijing China, in July 2013. The 19 revised full papers were carefully reviewed and selected from 49 submissions and are presented together with 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 International Symposium on Integrated Uncertainty in Knowledge Modeling and Decision Making, IUKM 2013, held in Beijing China, in July 2013. The 19 revised full papers were carefully reviewed and selected from 49 submissions and are presented together with 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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