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02390nam a22005175i 4500 |
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|a 9783642395154
|9 978-3-642-39515-4
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|a 10.1007/978-3-642-39515-4
|2 doi
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|a Q334-342
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|a TJ210.2-211.495
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|a Integrated Uncertainty in Knowledge Modelling and Decision Making
|h [electronic resource] :
|b International Symposium, IUKM 2013, Beijing, China, July 12-14, 2013. Proceedings /
|c edited by Zengchang Qin, Van-Nam Huynh.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2013.
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|a XII, 219 p. 61 illus.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|b PDF
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 8032
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|a 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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|a Computer science.
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|a Algorithms.
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|a Data mining.
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|a Artificial intelligence.
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|a Computer Science.
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|a Artificial Intelligence (incl. Robotics).
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|a Data Mining and Knowledge Discovery.
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|a Algorithm Analysis and Problem Complexity.
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|a Qin, Zengchang.
|e editor.
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|a Huynh, Van-Nam.
|e editor.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783642395147
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 8032
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|u http://dx.doi.org/10.1007/978-3-642-39515-4
|z Full Text via HEAL-Link
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|a ZDB-2-SCS
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|a ZDB-2-LNC
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|a Computer Science (Springer-11645)
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