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Rough Sets and Knowledge Technology : 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.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 8818
- Lecture Notes in Artificial Intelligence, 2945-9141 ; 8818
- Language:
- English
- Subjects (All):
- 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 Recognition.
- Local Subjects:
- Artificial Intelligence.
- Computer and Information Systems Applications.
- Database Management.
- Numerical Analysis.
- Data Mining and Knowledge Discovery.
- Automated Pattern Recognition.
- Physical Description:
- 1 online resource (XXVIII, 867 pages) : 178 illustrations
- Edition:
- 1st ed. 2014.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2014.
- System Details:
- text file PDF
- Summary:
- 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.
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-11740-9
- 9783319117409
- Access Restriction:
- Restricted for use by site license.
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