Rough Set and Knowledge Technology [electronic resource] : 6th International Conference, RSKT 2011, Banff, Canada, October 9-12, 2011, Proceedings / edited by JingTao Yao, Sheela Ramanna, Guoyin Wang, Zbigniew Suraj.
Contributor(s): Yao, JingTao [editor.]
| Ramanna, Sheela [editor.] | Wang, Guoyin [editor.] | Suraj, Zbigniew [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Artificial Intelligence: 6954Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011Edition: 1st ed. 2011.Description: XVIII, 771 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642244254.Subject(s): Artificial intelligence | Data mining | Database management | Machine theory | Computer science | Pattern recognition systems | Artificial Intelligence | Data Mining and Knowledge Discovery | Database Management | Formal Languages and Automata Theory | Theory of Computation | Automated Pattern RecognitionAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
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Springer Nature eBookSummary: This book constitutes the refereed proceedings of the 6th International Conference on Rough Sets and Knowledge Technology, RSKT 2011, held in Banff, Canada, in September 2011. The 89 revised full papers presented together with 3 keynote lectures and 1 invited tutorial session were carefully reviewed and selected from 229 submissions. The papers are organized in topical sections on attribute reduction and feature selection, generalized rough set models, machine learning with rough and hybrid techniques, knowledge technology and intelligent systems and applications.
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This book constitutes the refereed proceedings of the 6th International Conference on Rough Sets and Knowledge Technology, RSKT 2011, held in Banff, Canada, in September 2011. The 89 revised full papers presented together with 3 keynote lectures and 1 invited tutorial session were carefully reviewed and selected from 229 submissions. The papers are organized in topical sections on attribute reduction and feature selection, generalized rough set models, machine learning with rough and hybrid techniques, knowledge technology and intelligent systems and applications.
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