We consider the problem of detecting anomalies in high arity categorical datasets. In most applications, anomalies are defined as data points that are 'abnormal'. Quite ...
Network-based Intrusion Detection Systems (IDSs) such as Snort or Bro that have to analyze the packet payload for all the received data show severe performance problems if used in...
The WHO Collaborating Centre for International Drug Monitoring in Uppsala, Sweden, maintains and analyses the world's largest database of reports on suspected adverse drug re...
In this paper we present data flow frameworks that are able to detect access anomalies in Ada multi-tasking programs. In particular, our approach finds all possible non-sequentia...
Bernd Burgstaller, Johann Blieberger, Robert Mitte...
We present a Gaussian Mixture model for detecting different types of figurative language in context. We show that this model performs well when the parameters are estimated in an ...