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COMCOM
2007
98views more  COMCOM 2007»
13 years 7 months ago
Anomaly detection in TCP/IP networks using immune systems paradigm
The paper presents an architecture of an anomaly detection system based on the paradigm of artificial immune systems (AISs). Incoming network traffic data are considered by the s...
Franciszek Seredynski, Pascal Bouvry
ICIP
2010
IEEE
13 years 5 months ago
Video anomaly detection in spatiotemporal context
Compared to other approaches that analyze object trajectories, we propose to detect anomalous video events at three levels considering spatiotemporal context of video objects, i.e...
Fan Jiang, Junsong Yuan, Sotirios A. Tsaftaris, Ag...
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...
ECOOP
1998
Springer
13 years 11 months ago
Classifying Inheritance Mechanisms in Concurrent Object Oriented Programming
Abstract. Inheritance is one of the key concepts in object-oriented programming. However, the usefulness of inheritance in concurrent objectoriented programming is greatly reduced ...
Lobel Crnogorac, Anand S. Rao, Kotagiri Ramamohana...
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...