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» Anomaly Detection Using Process Mining
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CIKM
2011
Springer
12 years 6 months ago
Detecting anomalies in graphs with numeric labels
This paper presents Yagada, an algorithm to search labelled graphs for anomalies using both structural data and numeric attributes. Yagada is explained using several security-rela...
Michael Davis, Weiru Liu, Paul Miller, George Redp...
CSREASAM
2006
13 years 7 months ago
Novel Attack Detection Using Fuzzy Logic and Data Mining
: - Intrusion Detection Systems are increasingly a key part of systems defense. Various approaches to Intrusion Detection are currently being used, but they are relatively ineffect...
Norbik Bashah Idris, Bharanidharan Shanmugam
ICIP
2010
IEEE
13 years 4 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...
SAC
2008
ACM
13 years 5 months ago
Anomaly detection algorithms in logs of process aware systems
Today, there is a variety of systems that support business process as a whole or partially. However, normative systems are not appropriate for some domains (e.g. health care) as a...
Fábio de Lima Bezerra, Jacques Wainer
SDM
2009
SIAM
291views Data Mining» more  SDM 2009»
14 years 3 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...