Library of American University of Madaba
Rough Sets and Knowledge Technology
by Lingras, Pawan.
Authors: Wolski, Marcin.%editor. | Cornelis, Chris.%editor. | Mitra, Sushmita.%editor. | Wasilewski, Piotr.%editor. | SpringerLink (Online service) Series: Lecture Notes in Computer Science, 0302-9743 ; . 8171 Physical details: XIV, 414 p. 84 illus. online resource. ISBN: 3642412998 Subject(s): Computer science. | Electronic data processing. | Data mining. | Artificial intelligence. | Computer vision. | Computer Science. | Artificial Intelligence (incl. Robotics). | Numeric Computing. | Data Mining and Knowledge Discovery. | Computer Imaging, Vision, Pattern Recognition and Graphics.| Item type | Location | Call Number | Status | Date Due |
|---|---|---|---|---|
 E-Book |
AUM Main Library | 006.3 (Browse Shelf) | Not for loan |
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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