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KDD
2002
ACM
173views Data Mining» more  KDD 2002»
14 years 7 months ago
Predicting rare classes: can boosting make any weak learner strong?
Mahesh V. Joshi, Ramesh C. Agarwal, Vipin Kumar
KDD
2009
ACM
174views Data Mining» more  KDD 2009»
14 years 2 months ago
Handling outliers and concept drift in online mass flow prediction in CFB boilers
Jorn Bakker, Mykola Pechenizkiy, Indre Zliobaite, ...
BIOINFORMATICS
2007
117views more  BIOINFORMATICS 2007»
13 years 7 months ago
Mining biological networks for unknown pathways
Biological pathways provide significant insights on the interaction mechanisms of molecules. Presently, many essential pathways still remain unknown or incomplete for newly sequen...
Ali Cakmak, Gultekin Özsoyoglu
PKDD
2009
Springer
155views Data Mining» more  PKDD 2009»
14 years 2 months ago
Dynamic Factor Graphs for Time Series Modeling
Abstract. This article presents a method for training Dynamic Factor Graphs (DFG) with continuous latent state variables. A DFG includes factors modeling joint probabilities betwee...
Piotr W. Mirowski, Yann LeCun
PKDD
2010
Springer
152views Data Mining» more  PKDD 2010»
13 years 5 months ago
CET: A Tool for Creative Exploration of Graphs
We present a tool for interactive exploration of graphs that integrates advanced graph mining methods in an interactive visualization framework. The tool enables efficient explorat...
Stefan Haun, Andreas Nürnberger, Tobias K&oum...