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Rough Sets and Knowledge Technology [[electronic resource] ] : 9th International Conference, RSKT 2014, Shanghai, China, October 24-26, 2014, Proceedings / / edited by Duoqian Miao, Witold Pedrycz, Dominik Ślȩzak, Georg Peters, Qinghua Hu, Ruizhi Wang



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Titolo: Rough Sets and Knowledge Technology [[electronic resource] ] : 9th International Conference, RSKT 2014, Shanghai, China, October 24-26, 2014, Proceedings / / edited by Duoqian Miao, Witold Pedrycz, Dominik Ślȩzak, Georg Peters, Qinghua Hu, Ruizhi Wang Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Edizione: 1st ed. 2014.
Descrizione fisica: 1 online resource (XXVIII, 867 p. 178 illus.)
Disciplina: 006.3
Soggetto topico: Artificial intelligence
Application software
Database management
Numerical analysis
Data mining
Pattern recognition
Artificial Intelligence
Information Systems Applications (incl. Internet)
Database Management
Numeric Computing
Data Mining and Knowledge Discovery
Pattern Recognition
Persona (resp. second.): MiaoDuoqian
PedryczWitold
ŚlȩzakDominik
PetersGeorg
HuQinghua
WangRuizhi
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di contenuto: 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 -- Three-Way Decisions, Uncertainty, and Granular Computing.
Sommario/riassunto: 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.
Titolo autorizzato: Rough Sets and Knowledge Technology  Visualizza cluster
ISBN: 3-319-11740-8
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910484534803321
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Serie: Lecture Notes in Artificial Intelligence ; ; 8818