Sciweavers

357 search results - page 6 / 72
» Anomaly Detection Using Process Mining
Sort
View
IDA
2007
Springer
13 years 7 months ago
Anomaly detection in data represented as graphs
An important area of data mining is anomaly detection, particularly for fraud. However, little work has been done in terms of detecting anomalies in data that is represented as a g...
William Eberle, Lawrence B. Holder
ICC
2007
IEEE
203views Communications» more  ICC 2007»
14 years 1 months ago
A Multi-Scale Tomographic Algorithm for Detecting and Classifying Traffic Anomalies
—The occurrence of a traffic anomaly is always responsible for a degradation of performance. The anomaly can be observable, at some scale, in different ways: an increase in the n...
Silvia Farraposo, Philippe Owezarski, Edmundo Mont...
ICDCS
2003
IEEE
14 years 26 days ago
Cross-Feature Analysis for Detecting Ad-Hoc Routing Anomalies
With the proliferation of wireless devices, mobile ad hoc networking (MANET) has become a very exciting and important technology due to its characteristics of open medium and dyna...
Yi-an Huang, Wei Fan, Wenke Lee, Philip S. Yu
ICDM
2008
IEEE
146views Data Mining» more  ICDM 2008»
14 years 2 months ago
Isolation Forest
Most existing model-based approaches to anomaly detection construct a profile of normal instances, then identify instances that do not conform to the normal profile as anomalies...
Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou
SP
1999
IEEE
184views Security Privacy» more  SP 1999»
13 years 12 months ago
A Data Mining Framework for Building Intrusion Detection Models
There is often the need to update an installed Intrusion Detection System (IDS) due to new attack methods or upgraded computing environments. Since many current IDSs are construct...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok