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» Anomaly Detection Using an Ensemble of Feature Models
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ICARIS
2009
Springer
14 years 2 months ago
Exploration of the Dendritic Cell Algorithm Using the Duration Calculus
As one of the newest members in Artificial Immune Systems (AIS), the Dendritic Cell Algorithm (DCA) has been applied to a range of problems. These applications mainly belong to th...
Feng Gu, Julie Greensmith, Uwe Aickelin
BMCBI
2006
163views more  BMCBI 2006»
13 years 7 months ago
Ensemble attribute profile clustering: discovering and characterizing groups of genes with similar patterns of biological featur
Background: Ensemble attribute profile clustering is a novel, text-based strategy for analyzing a userdefined list of genes and/or proteins. The strategy exploits annotation data ...
J. R. Semeiks, A. Rizki, Mina J. Bissell, I. Saira...
RAID
2009
Springer
14 years 2 months ago
Adaptive Anomaly Detection via Self-calibration and Dynamic Updating
The deployment and use of Anomaly Detection (AD) sensors often requires the intervention of a human expert to manually calibrate and optimize their performance. Depending on the si...
Gabriela F. Cretu-Ciocarlie, Angelos Stavrou, Mich...
ICDM
2005
IEEE
190views Data Mining» more  ICDM 2005»
14 years 1 months ago
Neighborhood Formation and Anomaly Detection in Bipartite Graphs
Many real applications can be modeled using bipartite graphs, such as users vs. files in a P2P system, traders vs. stocks in a financial trading system, conferences vs. authors ...
Jimeng Sun, Huiming Qu, Deepayan Chakrabarti, Chri...
FBIT
2007
IEEE
13 years 11 months ago
Early Detection of Prostate Cancer with Classifier Ensembles
We investigate the performance of different classification models and their ability to recognize prostate cancer in an early state. We build ensembles of classification models in ...
Jörg D. Wichard, Henning Cammann, Carsten Ste...