Time Series Anomaly Searching Based on DBSCAN Ensembles
M. Yu. Chesnokov · Scientific and Technical Information Processing · 2019
Abstract— This article suggests a technique for building an ensemble based on the DBSCAN algorithm. This technique uses the internal structure of a time series for adaptively selecting input parameters. When used in experiments, it shows a narrower variance and higher levels of anomaly detection using real and synthetic data compared with a number of popular approaches.