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» Detecting anomalies in graphs with numeric labels
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CIKM
2011
Springer
12 years 4 months ago
Detecting anomalies in graphs with numeric labels
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...
Michael Davis, Weiru Liu, Paul Miller, George Redp...
FLAIRS
2009
13 years 2 months ago
Discovering Anomalies to Multiple Normative Patterns in Structural and Numeric Data
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...
William Eberle, Lawrence B. Holder
CONEXT
2010
ACM
13 years 2 months ago
MAWILab: combining diverse anomaly detectors for automated anomaly labeling and performance benchmarking
Evaluating anomaly detectors is a crucial task in traffic monitoring made particularly difficult due to the lack of ground truth. The goal of the present article is to assist rese...
Romain Fontugne, Pierre Borgnat, Patrice Abry, Ken...
IDA
2007
Springer
13 years 4 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
PAKDD
2010
ACM
169views Data Mining» more  PAKDD 2010»
13 years 9 months ago
oddball: Spotting Anomalies in Weighted Graphs
Given a large, weighted graph, how can we find anomalies? Which rules should be violated, before we label a node as an anomaly? We propose the OddBall algorithm, to find such nod...
Leman Akoglu, Mary McGlohon, Christos Faloutsos