Rough Sets and Knowledge Technology - 8th International Conference, RSKT 2013, Halifax, NS, Canada, October 11-14, 2013, Proceedings

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.

List of contents

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.

About the author

Sushmita Mitra, PHD, is an associate professor at Machine Intelligence Unit, Indian Statistical Institute, in Calcutta.

Product details

• Assisted by: Chris Cornelis (Editor), Chris Cornelis et al (Editor), Pawan Lingras (Editor), Sushmita Mitra (Editor), Piotr Wasilewski (Editor), Marci Wolski (Editor), Marcin Wolski (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 09.09.2013
• EAN: 9783642412981
• ISBN: 978-3-642-41298-1
• No. of pages: 414
• Dimensions: 154 mm x 236 mm x 24 mm
• Weight: 632 g
• Illustrations: XIV, 414 p. 84 illus.
• Series: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence; Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; C, Data Mining, Artificial Intelligence, computer science, Computer Vision, Computer Imaging, Vision, Pattern Recognition and Graphics, Data Mining and Knowledge Discovery, Mathematics of Computing, Numerical analysis, Mathematical theory of computation, Optical data processing, Expert systems / knowledge-based systems, Numeric Computing