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Rough Sets and Knowledge Technology [[electronic resource] ] : 8th International Conference, RSKT 2013, Halifax, NS, Canada, October 11-14, 2013, Proceedings / / edited by Pawan Lingras, Marcin Wolski, Chris Cornelis, Sushmita Mitra, Piotr Wasilewski



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Titolo: Rough Sets and Knowledge Technology [[electronic resource] ] : 8th International Conference, RSKT 2013, Halifax, NS, Canada, October 11-14, 2013, Proceedings / / edited by Pawan Lingras, Marcin Wolski, Chris Cornelis, Sushmita Mitra, Piotr Wasilewski Visualizza cluster
Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Edizione: 1st ed. 2013.
Descrizione fisica: 1 online resource (XIV, 414 p. 84 illus.)
Disciplina: 006.3
Soggetto topico: Artificial intelligence
Numerical analysis
Data mining
Optical data processing
Artificial Intelligence
Numeric Computing
Data Mining and Knowledge Discovery
Computer Imaging, Vision, Pattern Recognition and Graphics
Persona (resp. second.): LingrasPawan
WolskiMarcin
CornelisChris
MitraSushmita
WasilewskiPiotr
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di contenuto: History and future of rough sets -- Foundations and probabilistic rough sets -- Rules, reducts, ensembles -- New trends in computing -- Three-way decision rough sets -- Learning, predicting, modeling.
Sommario/riassunto: This book constitutes the thoroughly refereed conference proceedings of the 8th International Conference on Rough Sets and Knowledge Technology, RSKT 2013, held in Halifax, Canada in October 2013 as one of the co-located conferences of the 2013 Joint Rough Set Symposium, JRS 2013. The 69 papers (including 44 regular and 25 short papers) included in the JRS proceedings (LNCS 8170 and LNCS 8171) were carefully reviewed and selected from 106 submissions. The papers in this volume cover topics such as history and future of rough sets; foundations and probabilistic rough sets; rules, reducts, ensembles; new trends in computing; three-way decision rough sets; and learning, predicting, modeling.
Titolo autorizzato: Rough Sets and Knowledge Technology  Visualizza cluster
ISBN: 3-642-41299-8
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996465757603316
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Serie: Lecture Notes in Artificial Intelligence ; ; 8171