Integrated Uncertainty in Knowledge Modelling and Decision Making [electronic resource] : International Symposium, IUKM 2011, Hangzhou, China, October 28-30, 2011. Proceedings / edited by Yongchuan Tang, Van-Nam Huynh, Jonathan Lawry.
By: Tang, Yongchuan [editor.].
Contributor(s): Huynh, Van-Nam [editor.] | Lawry, Jonathan [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Computer Science: 7027Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Description: XII, 272p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642249181.Subject(s): Computer science | Computer software | Database management | Data mining | Information storage and retrieval systems | Artificial intelligence | Computer Science | Artificial Intelligence (incl. Robotics) | Information Systems Applications (incl. Internet) | Database Management | Information Storage and Retrieval | Data Mining and Knowledge Discovery | Algorithm Analysis and Problem ComplexityDDC classification: 006.3 Online resources: Click here to access online
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Springer eBooksSummary: This book constitutes the refereed proceedings of the International Symposium on Integrated Uncertainty in Knowledge Modeling and Decision Making, IUKM 2011, held in Hangzhou, China, in October 2011. The 21 revised full papers presented together with 1 keynote lecture and 5 invited talks were carefully reviewed and selected from 55 submissions. 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 2011, held in Hangzhou, China, in October 2011. The 21 revised full papers presented together with 1 keynote lecture and 5 invited talks were carefully reviewed and selected from 55 submissions. 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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