Knowledge Discovery Enhanced with Semantic and Social Information

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Berendt, Bettina (Επιμελητής έκδοσης), Mladenič, Dunja (Επιμελητής έκδοσης), Gemmis, Marco de (Επιμελητής έκδοσης), Semeraro, Giovanni (Επιμελητής έκδοσης), Spiliopoulou, Myra (Επιμελητής έκδοσης), Stumme, Gerd (Επιμελητής έκδοσης), Svátek, Vojtěch (Επιμελητής έκδοσης), Železný, Filip (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Σειρά: Studies in Computational Intelligence, 220
• Θέματα: Engineering.; Artificial intelligence.; Semantics.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).

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...

Πίνακας περιεχομένων:

• 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.