Knowledge Discovery Enhanced with Semantic and Social Information

This book is a showcase of recent advances in knowledge discovery enhanced with semantic and social information. It includes eight contributed chapters that grew out of two joint workshops at ECML/PKDD 2007. There is general agreement that the effectiveness of Machine Learning and Knowledge Discover...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Berendt, Bettina (Editor ), Mladenic, Dunja (Editor ), de Gemmis, Marco (Editor ), Semeraro, Giovanni (Editor ), Spiliopoulou, Myra (Editor ), Stumme, Gerd (Editor ), Svatek, Vojtech (Editor ), Železný, Filip (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Studies in Computational Intelligence, 220
Temas:
Computational intelligence.
Artificial intelligence.
Semiotics.
Computational Intelligence.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Prior Conceptual Knowledge in Machine Learning and Knowledge Discovery
  • On Ontologies as Prior Conceptual Knowledge in Inductive Logic Programming
  • A Knowledge-Intensive Approach for Semi-automatic Causal Subgroup Discovery
  • A Study of the SEMINTEC Approach to Frequent Pattern Mining
  • Partitional Conceptual Clustering of Web Resources Annotated with Ontology Languages
  • The Ex Project: Web Information Extraction Using Extraction Ontologies
  • Dealing with Background Knowledge in the SEWEBAR Project
  • Web Mining 2.0
  • Item Weighting Techniques for Collaborative Filtering
  • Using Term-Matching Algorithms for the Annotation of Geo-services.

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