Wen, Peng and Li, Yuefeng and Polkowski, Lech and Yao, Yiyu and Tsumoto, Shusaku and Wang, Guoyin, eds. (2009) Rough sets and knowledge technology: proceedings of the 4th International Conference on Rough Sets and Knowledge Technology. Lecture Notes in Artificial Intelligence, 5589 . Springer-Verlag, Berlin / Heidelberg, Germany. ISBN 978-3-642-02961-5
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Abstract
The main theme of the RSKT conference is to explore the synergy between rough sets and advanced knowledge technology and applications, including knowledge discovery, data mining, knowledge processing and management, granular computing, evolutionary computing, biocomputing and bioinformatics, cognitive computing and cognitive informatics, natural and artificial intelligence, Web intelligence, complex systems, and many others. From 229 papers submitted from 29 countries/regions, the Program Committee accepted 85 papers for inclusion in this volume. The acceptance rate is 37%. The RSKT 2009 technical program focused on the following research topics: – 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 VI Preface – Decision-Theoretic Rough Sets – Web Mining and Web Recommender Systems
| Item Type: | Book (Commonwealth Reporting Category A) |
|---|---|
| Additional Information: | Unavailable in electronic format. Electronic version of book available via USQ Library catalogue. |
| Uncontrolled Keywords: | rough set knowledge technology |
| Fields of Research (FOR2008): | 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080199 Artificial Intelligence and Image Processing not elsewhere classified |
| Subjects: | UNSPECIFIED |
| Socio-Economic Objective (SEO2008): | E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences |
| ID Code: | 6659 |
| Deposited By: | |
| Deposited On: | 25 Mar 2010 09:28 |
| Last Modified: | 03 Aug 2011 15:50 |
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