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ISMIS
2005
Springer
14 years 3 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
APVIS
2010
13 years 11 months ago
A sketch-based interface for classifying and visualizing vector fields
In flow visualization, field lines are often used to convey both global and local structure and movement of the flow. One challenge is to find and classify the representative fiel...
Jishang Wei, Chaoli Wang, Hongfeng Yu, Kwan-Liu Ma
MICCAI
2004
Springer
14 years 11 months ago
A Statistical Shape Model of Individual Fiber Tracts Extracted from Diffusion Tensor MRI
Diffusion Tensor MRI has become the preferred imaging modality to explore white matter structure and brain connectivity in vivo. Conventional region of interest analysis and voxel-...
Isabelle Corouge, Sylvain Gouttard, Guido Gerig
DASFAA
2009
IEEE
118views Database» more  DASFAA 2009»
13 years 11 months ago
Detecting Aggregate Incongruities in XML
The problem of identifying deviating patterns in XML repositories has important applications in data cleaning, fraud detection, and stock market analysis. Current methods determine...
Wynne Hsu, Qiangfeng Peter Lau, Mong-Li Lee
ADBIS
2007
Springer
132views Database» more  ADBIS 2007»
14 years 4 months ago
Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
Rayner Alfred, Dimitar Kazakov