132 search results - page 1 / 27 » Anomaly detection in data represented as graphs |
IDA
2007
Springer
13 years 4 months ago
2007
Springer
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...
FLAIRS
2009
13 years 2 months ago
2009
One of the primary issues with traditional anomaly detection approaches is their inability to handle complex, structural data. One approach to this issue involves the detection of...
ICDM
2007
IEEE
13 years 10 months ago
2007
IEEE
The ability to mine data represented as a graph has become important in several domains for detecting various structural patterns. One important area of data mining is anomaly det...
CIKM
2011
Springer
12 years 4 months ago
2011
Springer
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...
ISI
2007
Springer
13 years 10 months ago
2007
Springer
Graph data represents relationships, connections, or affinities. Innocent relationships produce repeated, and so common, substructures in graph data. We present techniques for dis...