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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



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Titolo: 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 Visualizza cluster
Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011
Edizione: 1st ed. 2011.
Descrizione fisica: 1 online resource (XII, 272 p. 60 illus., 28 illus. in color.)
Disciplina: 006.3/32
Soggetto topico: Artificial intelligence
Application software
Database management
Information storage and retrieval
Data mining
Algorithms
Artificial Intelligence
Information Systems Applications (incl. Internet)
Database Management
Information Storage and Retrieval
Data Mining and Knowledge Discovery
Algorithm Analysis and Problem Complexity
Persona (resp. second.): TangYongchuan
HuynhVan-Nam
LawryJonathan
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di bibliografia: Includes bibliographical references and index.
Sommario/riassunto: 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.
Titolo autorizzato: Integrated uncertainty in knowledge modelling and decision making  Visualizza cluster
ISBN: 3-642-24918-3
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996465418103316
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Serie: Lecture Notes in Artificial Intelligence ; ; 7027