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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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Bibliographic Details
Other Authors: Berendt, Bettina (Editor), Mladenic, Dunja (Editor), de Gemmis, Marco (Editor), Semeraro, Giovanni (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2009, 2009
Edition:1st ed. 2009
Series:Studies in Computational Intelligence
Subjects:
Computational Intelligence
Artificial Intelligence
Semiotics
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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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