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...
Uloženo v:
| Hlavní autor: | |
|---|---|
| Další autoři: | , , , , , , , |
| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Vydání: | 1st ed. 2009. |
| Edice: | Studies in Computational Intelligence
220 |
| On-line přístup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Poznámka: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Knowledge discovery enhanced with semantic and social information, Bettina Berendt, Dunja Mladenič, Marco de gemmis... [et al.], eds., Berlin, Springer, 2009, 1 vol. (X-143 p.), Studies in computational intelligence, 978-3-642-01890-9 |
Obsah:
- 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