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CSMR
2008
IEEE
14 years 1 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
ADMA
2006
Springer
112views Data Mining» more  ADMA 2006»
14 years 1 months ago
Finding Time Series Discords Based on Haar Transform
The problem of finding anomaly has received much attention recently. However, most of the anomaly detection algorithms depend on an explicit definition of anomaly, which may be i...
Ada Wai-Chee Fu, Oscar Tat-Wing Leung, Eamonn J. K...
SDM
2009
SIAM
291views Data Mining» more  SDM 2009»
14 years 4 months ago
Detection and Characterization of Anomalies in Multivariate Time Series.
Anomaly detection in multivariate time series is an important data mining task with applications to ecosystem modeling, network traffic monitoring, medical diagnosis, and other d...
Christopher Potter, Haibin Cheng, Pang-Ning Tan, S...
ICDCS
2012
IEEE
11 years 9 months ago
Tiresias: Online Anomaly Detection for Hierarchical Operational Network Data
Operational network data, management data such as customer care call logs and equipment system logs, is a very important source of information for network operators to detect prob...
Chi-Yao Hong, Matthew Caesar, Nick G. Duffield, Ji...
PERVASIVE
2011
Springer
12 years 9 months ago
n-Gram Geo-trace Modeling
As location-sensing smart phones and location-based services gain mainstream popularity, there is increased interest in developing techniques that can detect anomalous activities. ...
Senaka Buthpitiya, Ying Zhang, Anind K. Dey, Marti...