1 option
Rough Sets : International Joint Conference, IJCRS 2016, Santiago de Chile, Chile, October 7-11, 2016, Proceedings / edited by Víctor Flores, Fernando Gomide, Andrzej Janusz, Claudio Meneses, Duoqian Miao, Georg Peters, Dominik Ślęzak, Guoyin Wang, Richard Weber, Yiyu Yao.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 9920
- Lecture Notes in Artificial Intelligence, 2945-9141 ; 9920
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Database management.
- Application software.
- Information storage and retrieval systems.
- Data mining.
- Computer science.
- Artificial Intelligence.
- Database Management.
- Computer and Information Systems Applications.
- Information Storage and Retrieval.
- Data Mining and Knowledge Discovery.
- Theory of Computation.
- Local Subjects:
- Artificial Intelligence.
- Database Management.
- Computer and Information Systems Applications.
- Information Storage and Retrieval.
- Data Mining and Knowledge Discovery.
- Theory of Computation.
- Physical Description:
- 1 online resource (XVII, 592 pages) : 122 illustrations
- Edition:
- 1st ed. 2016.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2016.
- System Details:
- text file PDF
- Summary:
- This book constitutes the refereed proceedings of the International Joint Conference on Rough Sets, IJCRS 2016, held in Santiago de Chile, Chile, in October 2016. The 46 revised full papers presented together with 7 keynotes, tutorials and expert papers were carefully reviewed and selected from 108 submissions. The papers are grouped in topical sections on Rough Sets, Approximation and Granulation; Rough Sets, Non-Determinism and Incompleteness; Rough Sets and Three-way Decisions; Fuzziness and Similarity in Knowledge Representation; Machine Learning and Decision Making; Ranking and Clustering; Derivation and Application of Rules and Trees; Derivation and Application of Feature Subsets.
- Contents:
- Rough Sets, Approximation and Granulation
- Rough Sets, Non-Determinism and Incompleteness
- Rough Sets and Three-way Decisions
- Fuzziness and Similarity in Knowledge Representation
- Machine Learning and Decision Making
- Ranking and Clustering
- Derivation and Application of Rules and Trees
- Derivation and Application of Feature Subsets. .
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-47160-0
- 9783319471600
- Access Restriction:
- Restricted for use by site license.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.