Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Info and Reading Options
14th International Conference, RSFDGrC 2013, Halifax, NS, Canada, October 11-14, 2013. ...
By Guoyin Wang, Yiyu Yao and Qing Liu
"Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing" is published by Springer in Sep 11, 2013 and it has 412 pages.
“Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing” Metadata:
- Title: ➤ Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
- Authors: Guoyin WangYiyu YaoQing Liu
- Number of Pages: 412
- Publisher: Springer
- Publish Date: Sep 11, 2013
“Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing” Subjects and Themes:
- Subjects: ➤ Granular computing - Computer science - Data mining - Soft computing - Congresses - Fuzzy sets - Pattern perception - Artificial Intelligence (incl. Robotics) - Artificial intelligence - Optical pattern recognition - Data Mining and Knowledge Discovery - Computation by Abstract Devices
Edition Specifications:
- Format: paperback
Edition Identifiers:
- The Open Library ID: OL29537989M - OL16964550W
- ISBN-13: 9783642412172
- ISBN-10: 3642412173
- All ISBNs: 3642412173 - 9783642412172
AI-generated Review of “Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing”:
"Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing" Description:
The Open Library:
This book constitutes the thoroughly refereed conference proceedings of the 14th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC 2013, held in Halifax, Canada in October 2013 as one of the co-located conference of the 2013 Joint Rough Set Symposium, JRS 2013. The 69 papers (including 44 regular and 25 short papers) included in the JRS proceedings (LNCS 8170 and LNCS 8171) were carefully reviewed and selected from 106 submissions. The papers in this volume cover topics such as inconsistency, incompleteness, non-determinism; fuzzy and rough hybridization; granular computing and covering-based rough sets; soft clustering; image and medical data analysis.
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