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» Collusion set detection using graph clustering
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IJAR
2007
113views more  IJAR 2007»
13 years 8 months ago
Fuzzy clustering in parallel universes
We present an extension of the fuzzy c-Means algorithm, which operates simultaneously on different feature spaces—so-called parallel universes—and also incorporates noise det...
Bernd Wiswedel, Michael R. Berthold
SDM
2012
SIAM
297views Data Mining» more  SDM 2012»
11 years 11 months ago
A Flexible Open-Source Toolbox for Scalable Complex Graph Analysis
The Knowledge Discovery Toolbox (KDT) enables domain experts to perform complex analyses of huge datasets on supercomputers using a high-level language without grappling with the ...
Adam Lugowski, David M. Alber, Aydin Buluç,...
DAGM
2007
Springer
14 years 2 months ago
Semi-supervised Tumor Detection in Magnetic Resonance Spectroscopic Images Using Discriminative Random Fields
Magnetic resonance spectral images provide information on metabolic processes and can thus be used for in vivo tumor diagnosis. However, each single spectrum has to be checked manu...
L. Görlitz, Bjoern H. Menze, M.-A. Weber, B. ...
AUSDM
2008
Springer
225views Data Mining» more  AUSDM 2008»
13 years 10 months ago
Evaluation of Malware clustering based on its dynamic behaviour
Malware detection is an important problem today. New malware appears every day and in order to be able to detect it, it is important to recognize families of existing malware. Dat...
Ibai Gurrutxaga, Olatz Arbelaitz, Jesús M. ...
SCIA
2005
Springer
166views Image Analysis» more  SCIA 2005»
14 years 2 months ago
Clustering Based on Principal Curve
Clustering algorithms are intensively used in the image analysis field in compression, segmentation, recognition and other tasks. In this work we present a new approach in clusteri...
Ioan Cleju, Pasi Fränti, Xiaolin Wu