Rough sets and knowledge technology 6th International Conference, RSKT 2011, Banff, Canada, October 9-12, 2011 : proceedings /
This book constitutes the refereed proceedings of the 6th International Conference on Rough Sets and Knowledge Technology, RSKT 2011, held in Banff, Canada, in September 2011. The 89 revised full papers presented together with 3 keynote lectures and 1 invited tutorial session were carefully reviewed...
| Corporate Authors: | RSKT 2011 Banff, Alta.) |
|---|---|
| Other Authors: | RSKT 2011, Yao, JingTao., SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
Heidelberg ; New York :
Springer-Verlag GmbH Berlin Heidelberg,
©2011.
Heidelberg ; New York : [2011] |
| Physical Description: |
1 online resource (xviii, 771 pages) : illustrations (some color). |
| Series: |
Lecture notes in computer science. Lecture notes in artificial intelligence.
Lecture notes in computer science ; 6954. |
| Subjects: |
| Summary: |
This book constitutes the refereed proceedings of the 6th International Conference on Rough Sets and Knowledge Technology, RSKT 2011, held in Banff, Canada, in September 2011. The 89 revised full papers presented together with 3 keynote lectures and 1 invited tutorial session were carefully reviewed and selected from 229 submissions. The papers are organized in topical sections on attribute reduction and feature selection, generalized rough set models, machine learning with rough and hybrid techniques, knowledge technology and intelligent systems and applications. |
|---|---|
| Item Description: |
Includes bibliographical references and index. This book constitutes the refereed proceedings of the 6th International Conference on Rough Sets and Knowledge Technology, RSKT 2011, held in Banff, Canada, in September 2011. The 89 revised full papers presented together with 3 keynote lectures and 1 invited tutorial session were carefully reviewed and selected from 229 submissions. The papers are organized in topical sections on attribute reduction and feature selection, generalized rough set models, machine learning with rough and hybrid techniques, knowledge technology and intelligent systems and applications. |
| Physical Description: |
1 online resource (xviii, 771 pages) : illustrations (some color). |
| Bibliography: |
Includes bibliographical references and index. |
| ISBN: |
9783642244254 3642244254 |
| ISSN: |
0302-9743 ; |