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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TextoSeries Lecture Notes in Computer Science, 7027Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Descripción: XII, 272p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783642249181Trabajos contenidos: SpringerLink (Online service)Tema(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 ComplexityFormatos físicos adicionales: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q334-342TJ210.2-211.495Recursos en línea: de clik aquí para ver el libro electrónico Springer eBooksResumen: 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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