1503 search results - page 1 / 301 » Detecting Anomalies in Graphs |
KDD
2003
ACM
14 years 5 months ago
2003
ACM
Anomaly detection is an area that has received much attention in recent years. It has a wide variety of applications, including fraud detection and network intrusion detection. A ...
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...
CSDA
2010
13 years 5 months ago
2010
Abstract: Fusion of information from graph features and content can provide superior inference for an anomaly detection task, compared to the corresponding content-only or graph fe...
ICDM
2007
IEEE
13 years 11 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...
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...