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Rough Sets and Knowledge Technology
. Ed(S): Miao, Duoqian; Pedrycz, Witold; Slezak, Dominik; Peters, Georg; Hu, Qinghua; Wang, Ruizhi
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Description for Rough Sets and Knowledge Technology
Paperback. Editor(s): Miao, Duoqian; Pedrycz, Witold; Slezak, Dominik; Peters, Georg; Hu, Qinghua; Wang, Ruizhi. Series: Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence. Num Pages: 895 pages, 178 black & white illustrations, biography. BIC Classification: UNF; UNH; UYA; UYQ; UYQP. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 45. Weight in Grams: 1347.
This book constitutes the thoroughly refereed conference proceedings of the 9th International Conference on Rough Sets and Knowledge Technology, RSKT 2014, held in Shanghai, China, in October 2014. The 70 papers presented were carefully reviewed and selected from 162 submissions. The papers in this volume cover topics such as foundations and generalizations of rough sets, attribute reduction and feature selection, applications of rough sets, intelligent systems and applications, knowledge technology, domain-oriented data-driven data mining, uncertainty in granular computing, advances in granular computing, big data to wise decisions, rough set theory, and three-way decisions, uncertainty, and granular computing.
This book constitutes the thoroughly refereed conference proceedings of the 9th International Conference on Rough Sets and Knowledge Technology, RSKT 2014, held in Shanghai, China, in October 2014. The 70 papers presented were carefully reviewed and selected from 162 submissions. The papers in this volume cover topics such as foundations and generalizations of rough sets, attribute reduction and feature selection, applications of rough sets, intelligent systems and applications, knowledge technology, domain-oriented data-driven data mining, uncertainty in granular computing, advances in granular computing, big data to wise decisions, rough set theory, and three-way decisions, uncertainty, and granular computing.
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer International Publishing AG Switzerland
Number of pages
895
Condition
New
Series
Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence
Number of Pages
867
Place of Publication
Cham, Switzerland
ISBN
9783319117393
SKU
V9783319117393
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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