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.
Contributor(s): Lingras, Pawan [editor.]
| Wolski, Marcin [editor.] | Cornelis, Chris [editor.] | Mitra, Sushmita [editor.] | Wasilewski, Piotr [editor.] | SpringerLink (Online service).
Material type: 
BookSeries: Lecture Notes in Artificial Intelligence: 8171Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Edition: 1st ed. 2013.Description: XIV, 414 p. 84 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642412998.Subject(s): Artificial intelligence | Numerical analysis | Data mining | Image processing -- Digital techniques | Computer vision | Artificial Intelligence | Numerical Analysis | Data Mining and Knowledge Discovery | Computer Imaging, Vision, Pattern Recognition and GraphicsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online 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.
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.
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