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03555nam a22006495i 4500 |
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20170119201156.0 |
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100301s2009 gw | s |||| 0|eng d |
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|a 9783642029622
|9 978-3-642-02962-2
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|a 10.1007/978-3-642-02962-2
|2 doi
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|a Rough Sets and Knowledge Technology
|h [electronic resource] :
|b 4th International Conference, RSKT 2009, Gold Coast, Australia, July 14-16, 2009. Proceedings /
|c edited by Peng Wen, Yuefeng Li, Lech Polkowski, Yiyu Yao, Shusaku Tsumoto, Guoyin Wang.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2009.
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| 300 |
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|a XVIII, 709 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
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 5589
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| 505 |
0 |
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|a Keynote Papers -- Rough Sets and Computing -- Rough Sets and Data Reduction -- Data Mining and Knowledge Discovery -- Granular Computing and Cognitive Computing -- Fuzzy Sets and Computing -- Rough Sets and Fuzzy Sets -- Knowledge Technology and Intelligent Systems -- Computational Intelligence and Applications -- Image Processing and Understanding -- Formal Concept Analysis -- Special Session: Decision-Theoretic Rough Sets -- Special Session: Web Mining and Web Recommender Systems.
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|a This book constitutes the refereed proceedings of the Fourth International Conference on Rough Sets and Knowledge Technology, RSKT 2009, held in Gold Coast, Australia, in July 2009. The 85 revised full papers papers presented together with 3 keynote papers and 2 special sessions were carefully reviewed and selected from 229 submissions. The papers are organized in topical sections on rough sets and computing, rough sets and data reduction, data mining and knowledge discovery, granular computing and cognitive computing, fuzzy sets and computing, knowledge technology and intelligent systems, computational intelligence and applications, image processing and understanding, and formal concept analysis. .
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| 650 |
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|a Mathematics.
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| 650 |
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|a Coding theory.
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| 650 |
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0 |
|a Computers.
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| 650 |
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0 |
|a Mathematical logic.
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| 650 |
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0 |
|a Computer science
|x Mathematics.
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| 650 |
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0 |
|a Data mining.
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| 650 |
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0 |
|a Mathematical models.
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| 650 |
1 |
4 |
|a Mathematics.
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| 650 |
2 |
4 |
|a Mathematical Modeling and Industrial Mathematics.
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| 650 |
2 |
4 |
|a Coding and Information Theory.
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| 650 |
2 |
4 |
|a Computation by Abstract Devices.
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| 650 |
2 |
4 |
|a Data Mining and Knowledge Discovery.
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| 650 |
2 |
4 |
|a Mathematical Logic and Formal Languages.
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| 650 |
2 |
4 |
|a Symbolic and Algebraic Manipulation.
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| 700 |
1 |
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|a Wen, Peng.
|e editor.
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| 700 |
1 |
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|a Li, Yuefeng.
|e editor.
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| 700 |
1 |
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|a Polkowski, Lech.
|e editor.
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| 700 |
1 |
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|a Yao, Yiyu.
|e editor.
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| 700 |
1 |
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|a Tsumoto, Shusaku.
|e editor.
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| 700 |
1 |
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|a Wang, Guoyin.
|e editor.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783642029615
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| 830 |
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0 |
|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 5589
|
| 856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-3-642-02962-2
|z Full Text via HEAL-Link
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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-LNC
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| 950 |
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|a Computer Science (Springer-11645)
|
