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Rough Sets and Current Trends in Computing : 8th International Conference, RSCTC 2012, Chengdu, China, August 17-20, 2012.Proceedings / edited by JingTao Yao, Yan Yang, Roman Slowiński, Salvatore Greco, Huaxiong Li, Sushmita Mitra, Lech Polkowski.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 7413
- Lecture Notes in Artificial Intelligence, 2945-9141 ; 7413
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Data mining.
- Machine theory.
- Numerical analysis.
- Application software.
- Information storage and retrieval systems.
- Artificial Intelligence.
- Data Mining and Knowledge Discovery.
- Formal Languages and Automata Theory.
- Numerical Analysis.
- Computer and Information Systems Applications.
- Information Storage and Retrieval.
- Local Subjects:
- Artificial Intelligence.
- Data Mining and Knowledge Discovery.
- Formal Languages and Automata Theory.
- Numerical Analysis.
- Computer and Information Systems Applications.
- Information Storage and Retrieval.
- Physical Description:
- 1 online resource (498 pages) : 101 illustrations
- Edition:
- 1st ed. 2012.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
- System Details:
- text file PDF
- Summary:
- This book constitutes the refereed proceedings of the 8th International Conference on Rough Sets and Current Trends in Computing, RSCTC, held in Chengdu, China, in August 2012, as one of the co-located conferences of the 2012 Joint Rough Set Symposium, JRS 2012. The 55 revised full papers presented together with one keynote paper were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on rough sets and its applications; current trends in computing; decision-theoretic rough set model and applications; formal concept analysis and granular computing; mining complex data with granular computing; data mining competition.
- Contents:
- Topical sections on rough sets and its applications
- Current trends in computing
- Decision-theoretic rough set model and applications
- Formal concept analysis and granular computing
- Mining complex data with granular computing
- Data mining competition.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-642-32115-3
- 9783642321153
- Access Restriction:
- Restricted for use by site license.
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