Rough sets and knowledge technology: proceedings of the 4th International Conference on Rough Sets and Knowledge Technology

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


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Item Type: Book (Commonwealth Reporting Category A)
Refereed: Yes
Item Status: Live Archive
Additional Information: Unavailable in electronic format. Electronic version of book available via USQ Library catalogue.
Depositing User: Dr Paul Wen
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - No Department
Date Deposited: 24 Mar 2010 23:28
Last Modified: 02 Jul 2013 23:37
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
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
URI: http://eprints.usq.edu.au/id/eprint/6659

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