Discovery science 14th International Conference, DS 2011, Espoo, Finland, October 5-7, 2011 : proceedings /
This book constitutes the refereed proceedings of the 14th International Conference on Discovery Science, DS 2011, held in Espoo, Finland, in October 2011 - co-located with ALT 2011, the 22nd International Conference on Algorithmic Learning Theory. The 24 revised full papers presented together with...
| Corporate Authors: | International Conference on Discovery Science Espoo, Finland) |
|---|---|
| Other Authors: | International Conference on Discovery Science, Elomaa, Tapio, 1963-, Hollmén, Jaakko., Mannila, Heikki., 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 (xiii, 379 pages) : illustrations (some color). |
| Series: |
Lecture notes in computer science. Lecture notes in artificial intelligence.
Lecture notes in computer science ; 6929. |
| Subjects: |
| Summary: |
This book constitutes the refereed proceedings of the 14th International Conference on Discovery Science, DS 2011, held in Espoo, Finland, in October 2011 - co-located with ALT 2011, the 22nd International Conference on Algorithmic Learning Theory. The 24 revised full papers presented together with 5 invited lectures were carefully revised and selected from 56 submissions. The papers cover a wide range including the development and analysis of methods for automatic scientific knowledge discovery, machine learning, intelligent data analysis, theory of learning, as well as their application to knowledge discovery. |
|---|---|
| Item Description: |
Includes bibliographical references and index. This book constitutes the refereed proceedings of the 14th International Conference on Discovery Science, DS 2011, held in Espoo, Finland, in October 2011 - co-located with ALT 2011, the 22nd International Conference on Algorithmic Learning Theory. The 24 revised full papers presented together with 5 invited lectures were carefully revised and selected from 56 submissions. The papers cover a wide range including the development and analysis of methods for automatic scientific knowledge discovery, machine learning, intelligent data analysis, theory of learning, as well as their application to knowledge discovery. |
| Physical Description: |
1 online resource (xiii, 379 pages) : illustrations (some color). |
| Bibliography: |
Includes bibliographical references and index. |
| ISBN: |
9783642244773 3642244777 3642244769 9783642244766 |
| ISSN: |
0302-9743 ; |