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» Statistical Relational Learning for Document Mining
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ESWS
2008
Springer
13 years 7 months ago
Adding Data Mining Support to SPARQL Via Statistical Relational Learning Methods
Exploiting the complex structure of relational data enables to build better models by taking into account the additional information provided by the links between objects. We exten...
Christoph Kiefer, Abraham Bernstein, André ...
KDD
2004
ACM
170views Data Mining» more  KDD 2004»
14 years 5 months ago
Why collective inference improves relational classification
Procedures for collective inference make simultaneous statistical judgments about the same variables for a set of related data instances. For example, collective inference could b...
David Jensen, Jennifer Neville, Brian Gallagher
PKDD
2010
Springer
154views Data Mining» more  PKDD 2010»
13 years 3 months ago
Topic Models Conditioned on Relations
Latent Dirichlet allocation is a fully generative statistical language model that has been proven to be successful in capturing both the content and the topics of a corpus of docum...
Mirwaes Wahabzada, Zhao Xu, Kristian Kersting
PKDD
2009
Springer
170views Data Mining» more  PKDD 2009»
13 years 12 months ago
Statistical Relational Learning with Formal Ontologies
Abstract. We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a semantically rich and fully formal representation...
Achim Rettinger, Matthias Nickles, Volker Tresp
GFKL
2005
Springer
125views Data Mining» more  GFKL 2005»
13 years 11 months ago
Towards Structure-sensitive Hypertext Categorization
Abstract. Hypertext categorization is the task of automatically assigning category labels to hypertext units. Comparable to text categorization it stays in the area of function lea...
Alexander Mehler, Rüdiger Gleim, Matthias Deh...