Knowledge Discovery Enhanced with Semantic and Social Information

Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	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)
Format:	eBook
Language:	English
Published:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edition:	1st ed. 2009.
Series:	Studies in Computational Intelligence, 220
Subjects:	Computational intelligence. Artificial intelligence. Semantics. Computational Intelligence. Artificial Intelligence.
Online Access:	https://doi.org/10.1007/978-3-642-01891-6

Table of Contents:

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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