MTS Outlier Detection

Based on Dynamic Bayesian Networks

A R and Java implementation of a complete multivariate time series (MTS) outlier detection system covering problems from pre-processing to post-score analysis. It adopts dynamic Bayesian network (DBN) modeling with the conjunction of a sliding window approach to uncover observations suspected of not have been generated by data’s underlying processes.... [Read More]

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