Rough Sets and Knowledge Technology : 10th International Conference, RSKT 2015, Held as Part of the International Joint Conference on Rough Sets, IJCRS 2015, Tianjin, China, November 20-23, 2015, Proceedings /

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Bibliographic Details
Edition:	1st ed. 2015.
Imprint:	Cham : Springer International Publishing : Imprint : Springer, 2015.
Description:	1 online resource (XVI, 538 pages 85 illustrations) : online resource.
Language:	English
Series:	Lecture Notes in Computer Science, 0302-9743 ; 9436 Lecture notes in computer science ; 9436.
Subject:	Computer science. Numerical analysis. Database management. Data mining. Artificial intelligence. Pattern perception. Artificial intelligence. Computer science. Data mining. Database management. Numerical analysis. Pattern perception.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11096993

Hidden Bibliographic Details
Other authors / contributors:	Ciucci, Davide, editor. Wang, Guoyin, editor. Mitra, Sushmita, editor. Wu, Wei-Zhi, editor.
ISBN:	9783319257549 3319257544 9783319257532 3319257536
Digital file characteristics:	text file PDF
Summary:	This book constitutes the thoroughly refereed conference proceedings of the 10th International Conference on Rough Sets and Knowledge Technology, RSKT 2015, held in Tianjin, China, in November 2015, as part of the International Joint Conference on Rough Sets, IJCRS 2015, together with the 15th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDgrC 2015. The 66 papers presented at IJCRS 2015 were carefully reviewed and selected from 97 submissions. The 38 papers included in this volume are organized in the following topical sections: rough sets: the experts speak; reducts and rules; three-way decisions; logic and algebra; clustering; rough sets and graphs; and modeling and learning. In addition the volume contains 6 contributions by new fellows of the International Rough Set Society, an invited talk and a tutorial.
Other form:	Printed edition: 9783319257532
Standard no.:	10.1007/978-3-319-25754-9

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