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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
JCP
2008
174views more  JCP 2008»
13 years 7 months ago
Design and Implementation of Spatial Data Mining System (M-SDM) based on MATLAB
Taking the design of data analyzing software for imaging brain function -- SPM (Statistical Parameters Mapping) for reference, this study combined MATLAB, GIS and SDM organically, ...
Lu Zhao, Xinqi Zheng, Shuqing Wang
DASFAA
2011
IEEE
270views Database» more  DASFAA 2011»
12 years 11 months ago
AutoBayesian: Developing Bayesian Networks Based on Text Mining
Bayesian network is a widely used tool for data analysis, modeling and decision support in various domains. There is a growing need for techniques and tools which can automatically...
Sandeep Raghuram, Yuni Xia, Jiaqi Ge, Mathew Palak...
KDD
2009
ACM
156views Data Mining» more  KDD 2009»
14 years 8 months ago
Turning down the noise in the blogosphere
In recent years, the blogosphere has experienced a substantial increase in the number of posts published daily, forcing users to cope with information overload. The task of guidin...
Khalid El-Arini, Gaurav Veda, Dafna Shahaf, Carlos...
KDD
2009
ACM
163views Data Mining» more  KDD 2009»
14 years 8 months ago
Large-scale graph mining using backbone refinement classes
We present a new approach to large-scale graph mining based on so-called backbone refinement classes. The method efficiently mines tree-shaped subgraph descriptors under minimum f...
Andreas Maunz, Christoph Helma, Stefan Kramer