Knowledge Discovery Enhanced with Semantic and Social Information

Detalles Bibliográficos
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:	eBook
Lenguaje:	English
Publicado:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edición:	1st ed. 2009.
Colección:	Studies in Computational Intelligence, 220
Materias:	Computational intelligence. Artificial intelligence. Semantics. Computational Intelligence. Artificial Intelligence.
Acceso en línea:	https://doi.org/10.1007/978-3-642-01891-6

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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