38 search results - page 7 / 8 » Mining for Structural Anomalies in Graph-based Data |
KDD
2008
ACM
14 years 5 months ago
2008
ACM
Low-rank approximations of the adjacency matrix of a graph are essential in finding patterns (such as communities) and detecting anomalies. Additionally, it is desirable to track ...
IMC
2010
ACM
13 years 3 months ago
2010
ACM
Router syslogs are messages that a router logs to describe a wide range of events observed by it. They are considered one of the most valuable data sources for monitoring network ...
DATAMINE
2007
13 years 5 months ago
2007
Many high level representations of time series have been proposed for data mining, including Fourier transforms, wavelets, eigenwaves, piecewise polynomial models etc. Many researc...
CIKM
2006
Springer
13 years 9 months ago
2006
Springer
With ever growing competition in telecommunications markets, operators have to increasingly rely on business intelligence to offer the right incentives to their customers. Toward ...
KDD
2006
ACM
14 years 5 months ago
2006
ACM
Previous efforts on event detection from the web have focused primarily on web content and structure data ignoring the rich collection of web log data. In this paper, we propose t...