Knowledge Discovery Enhanced with Semantic and Social Information

• Corporate Author: SpringerLink (Online service)
• Other Authors: Berendt, Bettina. (Editor), Mladeni , Dunja. (Editor), Gemmis, Marco. (Editor), Semeraro, Giovanni. (Editor), Spiliopoulou, Myra. (Editor), Stumme, Gerd. (Editor), Svt̀ek, Vojtch. (Editor), }elezn<U+00fd>, Filip. (Editor)
• Format: Electronic
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Series: Studies in Computational Intelligence, 220
• Subjects: Engineering.; Artificial intelligence.; Semantics.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-01891-6

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...

Table of Contents:

• Part I 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
• Part II Web Mining 2.0
• Item Weighting Techniques for Collaborative Filtering
• Using Term-matching Algorithms for the Annotation of Geo-services.