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CSMR
2008
IEEE
13 years 12 months ago
Visual Detection of Design Anomalies
Design anomalies, introduced during software evolution, are frequent causes of low maintainability and low flexibility to future changes. Because of the required knowledge, an im...
Karim Dhambri, Houari A. Sahraoui, Pierre Poulin
SAC
2010
ACM
13 years 10 months ago
Data stream anomaly detection through principal subspace tracking
We consider the problem of anomaly detection in multiple co-evolving data streams. In this paper, we introduce FRAHST (Fast Rank-Adaptive row-Householder Subspace Tracking). It au...
Pedro Henriques dos Santos Teixeira, Ruy Luiz Mili...
DISCEX
2003
IEEE
13 years 10 months ago
Detecting Novel Scans Through Pattern Anomaly Detection
We introduce a technique for detecting anomalous patterns in a categorical feature (one that takes values from a finite alphabet). It differs from most anomaly detection methods u...
Alfonso Valdes
ICDM
2009
IEEE
223views Data Mining» more  ICDM 2009»
14 years 4 days ago
Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysis
Abstract -- Detection of execution anomalies is very important for the maintenance, development, and performance refinement of large scale distributed systems. Execution anomalies ...
Qiang Fu, Jian-Guang Lou, Yi Wang, Jiang Li
SDM
2008
SIAM
206views Data Mining» more  SDM 2008»
13 years 7 months ago
Latent Variable Mining with Its Applications to Anomalous Behavior Detection
In this paper, we propose a new approach to anomaly detection by looking at the latent variable space to make the first step toward latent anomaly detection. Most conventional app...
Shunsuke Hirose, Kenji Yamanishi