Metalearning Applications to Data Mining /

Metalearning is the study of principled methods that exploit metaknowledge to obtain efficient models and solutions by adapting machine learning and data mining processes. While the variety of machine learning and data mining techniques now available can, in principle, provide good model solutions,...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Brazdil, Pavel (Autor), Giraud Carrier, Christophe (Autor), Soares, Carlos (Autor), Vilalta, Ricardo (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Cognitive Technologies,
Temas:
Artificial intelligence.
Data mining.
Pattern recognition systems.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Automated Pattern Recognition.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Metalearning: Concepts and Systems
  • Metalearning for Algorithm Recommendation: an Introduction
  • Development of Metalearning Systems for Algorithm Recommendation
  • Extending Metalearning to Data Mining and KDD
  • Extending Metalearning to Data Mining and KDD
  • Bias Management in Time-Changing Data Streams
  • Transfer of Metaknowledge Across Tasks
  • Composition of Complex Systems: Role of Domain-Specific Metaknowledge.

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