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» Detecting and discriminating behavioural anomalies
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SDM
2009
SIAM
149views Data Mining» more  SDM 2009»
14 years 2 months ago
Near-optimal Supervised Feature Selection among Frequent Subgraphs.
Graph classification is an increasingly important step in numerous application domains, such as function prediction of molecules and proteins, computerised scene analysis, and an...
Alexander J. Smola, Arthur Gretton, Hans-Peter Kri...
ISMIS
2005
Springer
13 years 10 months ago
Learning the Daily Model of Network Traffic
Abstract. Anomaly detection is based on profiles that represent normal behaviour of users, hosts or networks and detects attacks as significant deviations from these profiles. In t...
Costantina Caruso, Donato Malerba, Davide Papagni
HOTOS
2003
IEEE
13 years 10 months ago
Magpie: Online Modelling and Performance-aware Systems
Understanding the performance of distributed systems requires correlation of thousands of interactions between numerous components — a task best left to a computer. Today’s sy...
Paul Barham, Rebecca Isaacs, Richard Mortier, Dush...
BMVC
2000
13 years 6 months ago
Recognising the Dynamics of Faces across Multiple Views
We present an integrated framework for dynamic face detection and recognition, where head pose is estimated using Support Vector Regression, face detection is performed by Support...
Yongmin Li, Shaogang Gong, Heather M. Liddell