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DEXA
2008
Springer
123views Database» more  DEXA 2008»
13 years 9 months ago
Emerging Pattern Based Classification in Relational Data Mining
The usage of descriptive data mining methods for predictive purposes is a recent trend in data mining research. It is well motivated by the understandability of learned models, the...
Michelangelo Ceci, Annalisa Appice, Donato Malerba
PKDD
2009
Springer
170views Data Mining» more  PKDD 2009»
14 years 2 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
BMCBI
2006
102views more  BMCBI 2006»
13 years 8 months ago
MycoperonDB: a database of computationally identified operons and transcriptional units in Mycobacteria
Background: A key post genomics challenge is to identify how genes in an organism come together and perform physiological functions. An important first step in this direction is t...
Sarita Ranjan, Ranjit Kumar Gundu, Akash Ranjan
FOIS
2006
13 years 9 months ago
Linking the Gene Ontology with Social Ontology: A Prolegomena to the Ontology of Personhood
The Gene Ontology captures information at a very small scale, namely: molecular function, biological process, and cellular components. At this level, the Gene Ontology project shou...
David R. Koepsell
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
14 years 8 months ago
Relational data pre-processing techniques for improved securities fraud detection
Commercial datasets are often large, relational, and dynamic. They contain many records of people, places, things, events and their interactions over time. Such datasets are rarel...
Andrew Fast, Lisa Friedland, Marc Maier, Brian Tay...