Discovery Science [electronic resource] : 14th International Conference, DS 2011, Espoo, Finland, October 5-7, 2011. Proceedings / edited by Tapio Elomaa, Jaakko HollmȨn, Heikki Mannila.
Tipo de material:
TextoSeries Lecture Notes in Computer Science, 6926Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Descripción: XIII, 381 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783642244773Trabajos contenidos: SpringerLink (Online service)Tema(s): Computer science | Computer software | Database management | Data mining | Information storage and retrieval systems | Artificial intelligence | Computer Science | Artificial Intelligence (incl. Robotics) | Information Storage and Retrieval | Information Systems Applications (incl. Internet) | Database Management | Data Mining and Knowledge Discovery | Algorithm Analysis and Problem ComplexityFormatos físicos adicionales: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q334-342TJ210.2-211.495Recursos en línea: de clik aquí para ver el libro electrónico Springer eBooksResumen: 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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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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