Discovery Science [electronic resource] : 14th International Conference, DS 2011, Espoo, Finland, October 5-7, Proceedings / edited by Tapio Elomaa, Jaakko Hollmen, Heikki Mannila.
Contributor(s): Elomaa, Tapio [editor.]
| Hollmen, Jaakko [editor.] | Mannila, Heikki [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Artificial Intelligence: 6926Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011Edition: 1st ed. 2011.Description: XIII, 381 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642244773.Subject(s): Artificial intelligence | Information storage and retrieval systems | Application software | Database management | Data mining | Algorithms | Artificial Intelligence | Information Storage and Retrieval | Computer and Information Systems Applications | Database Management | Data Mining and Knowledge Discovery | AlgorithmsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
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Springer Nature eBookSummary: 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.
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.
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