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KDD
2007
ACM
141views Data Mining» more  KDD 2007»
16 years 6 months ago
Detecting anomalous records in categorical datasets
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 ...
Kaustav Das, Jeff G. Schneider
CCS
2010
ACM
15 years 6 months ago
Dialog-based payload aggregation for intrusion detection
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...
Tobias Limmer, Falko Dressler
KDD
2005
ACM
104views Data Mining» more  KDD 2005»
16 years 6 months ago
A hit-miss model for duplicate detection in the WHO drug safety database
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...
Andrew Bate, G. Niklas Norén, Roland Orre
ADAEUROPE
2006
Springer
16 years 13 days ago
Static Detection of Access Anomalies in Ada95
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...
NAACL
2010
15 years 4 months ago
Using Gaussian Mixture Models to Detect Figurative Language in Context
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 ...
Linlin Li, Caroline Sporleder