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3 / 53Outline Correlation mining Caveats Dependency models CM Theory Experiments Summary References

By Alfred Hero and Corrrelation Mining and Corrrelation Mining

Abstract

Correlation mining The objective of correlation mining is to discover interesting or unusual patterns of dependency among a large number of variables (sequences, signals, images, videos). Related to: • Pattern mining, anomaly detection, cluster analysis • Graph analytics, community detection, node/edge analysis • Gaussian Graphical models (GGM) and extensions- Lauritzen 1996 “Big Data ” aspects: • Large numbers of signals, images, videos • Observed correlations between signals are incomplete and noisy • Number of samples ≪ number of objects of interest 4 / 53Outline Correlation mining Caveats Dependency models CM Theory Experiments Summary References Correlation mining for Internetwork anomaly detectio

Year: 2013
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