DLDE combines dynamic local density estimation via Time Split Tree and ensemble learning to detect anomaly subsequences in time series with claimed accuracy gains over prior methods.
IEEE Transac- tions on Intelligent Transportation Systems 14(2), 871–882 (2013)
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Anomaly Subsequence Detection with Dynamic Local Density for Time Series
DLDE combines dynamic local density estimation via Time Split Tree and ensemble learning to detect anomaly subsequences in time series with claimed accuracy gains over prior methods.