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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.

Contributor(s): Miao, Duoqian [editor.] | Pedrycz, Witold [editor.] | Ślȩzak, Dominik [editor.] | Peters, Georg [editor.] | Hu, Qinghua [editor.] | Wang, Ruizhi [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Artificial Intelligence: 8818Publisher: Cham : Springer International Publishing : Imprint: Springer, 2014Edition: 1st ed. 2014.Description: XXVIII, 867 p. 178 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319117409.Subject(s): Artificial intelligence | Application software | Database management | Numerical analysis | Data mining | Pattern recognition systems | Artificial Intelligence | Computer and Information Systems Applications | Database Management | Numerical Analysis | Data Mining and Knowledge Discovery | Automated Pattern RecognitionAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
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.
In: Springer Nature eBookSummary: 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.
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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.

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.

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