Less is More: Building Selective Anomaly Ensembles

8 Jan 2015Shebuti RayanaLeman Akoglu

Ensemble techniques for classification and clustering have long proven effective, yet anomaly ensembles have been barely studied. In this work, we tap into this gap and propose a new ensemble approach for anomaly mining, with application to event detection in temporal graphs... (read more)

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