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|a 9783540797210
|9 978-3-540-79721-0
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|a 10.1007/978-3-540-79721-0
|2 doi
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|a Q334-342
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|a TA347.A78
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|a Rough Sets and Knowledge Technology
|h [electronic resource] :
|b Third International Conference, RSKT 2008, Chengdu, China, May 17-19, 2008, Proceedings /
|c edited by Guoyin Wang, Tianrui Li, Jerzy W. Grzymala-Busse, Duoqian Miao, Yiyu Y. Yao.
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|a 1st ed. 2008.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2008.
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|a XVIII, 765 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
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|a text file
|b PDF
|2 rda
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|a Lecture Notes in Artificial Intelligence,
|x 2945-9141 ;
|v 5009
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|a Keynote Papers -- Tutorial Papers (Extended Abstracts) -- Rough and Soft Computing -- Rough Mereology with Applications -- Dominance-Based Rough Set Approach -- Fuzzy-Rough Hybridization -- Granular Computing -- Logical and Mathematical Foundations -- Formal Concept Analysis -- Data Mining -- Machine Learning -- Intelligent Information Processing -- Bioinformatics and Cognitive Informatics -- Web Intelligence -- Pattern Recognition -- Real-Life Applications of Knowledge Technology.
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|a This book constitutes the refereed proceedings of the Third International Conference on Rough Sets and Knowledge Technology, RSKT 2008, held in Chengdu, China, in May 2008. The 91 revised full papers papers presented together with 3 keynote papers and 6 tutorial papers were carefully reviewed and selected from 184 submissions. They all focus on five major research fields: computing theory and paradigms, knowledge technology, intelligent information processing, intelligent control, and applications. The papers are organized in topical sections on rough and soft computing, rough mereology with applications, dominance-based rough set approach, fuzzy-rough hybridization, granular computing, logical and mathematical foundations, formal concept analysis, data mining, machine learning, intelligent information processing, bioinformatics and cognitive informatics, web intelligence, pattern recognition, and real-life applications of knowledge technology.
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|a Artificial intelligence.
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650 |
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|a Data mining.
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650 |
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|a Database management.
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650 |
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|a Machine theory.
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650 |
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|a Computer science.
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|a Pattern recognition systems.
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650 |
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4 |
|a Artificial Intelligence.
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650 |
2 |
4 |
|a Data Mining and Knowledge Discovery.
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650 |
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4 |
|a Database Management.
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650 |
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4 |
|a Formal Languages and Automata Theory.
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|a Theory of Computation.
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650 |
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|a Automated Pattern Recognition.
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700 |
1 |
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|a Wang, Guoyin.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Li, Tianrui.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Grzymala-Busse, Jerzy W.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Miao, Duoqian.
|e editor.
|0 (orcid)0000-0001-6588-1468
|1 https://orcid.org/0000-0001-6588-1468
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
700 |
1 |
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|a Yao, Yiyu Y.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
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|t Springer Nature eBook
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776 |
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8 |
|i Printed edition:
|z 9783540850120
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776 |
0 |
8 |
|i Printed edition:
|z 9783540797203
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830 |
|
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|a Lecture Notes in Artificial Intelligence,
|x 2945-9141 ;
|v 5009
|
856 |
4 |
0 |
|u https://doi.uam.elogim.com/10.1007/978-3-540-79721-0
|z Texto Completo
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912 |
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|a ZDB-2-SCS
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912 |
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|a ZDB-2-SXCS
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912 |
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|a ZDB-2-LNC
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950 |
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|a Computer Science (SpringerNature-11645)
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950 |
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|a Computer Science (R0) (SpringerNature-43710)
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