8 search results - page 2 / 2 » Detecting anomalies in graphs with numeric labels |
KDD
2009
ACM
14 years 5 months ago
2009
ACM
Classifying nodes in networks is a task with a wide range of applications. It can be particularly useful in anomaly and fraud detection. Many resources are invested in the task of...
FLAIRS
2010
13 years 7 months ago
2010
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...
SDM
2009
SIAM
14 years 2 months ago
2009
SIAM
Graph classification is an increasingly important step in numerous application domains, such as function prediction of molecules and proteins, computerised scene analysis, and an...