Real-Time Change Point Detection with application to Smart Home Time Series Data.
Where this comes from
- Record sourced from PubMed, PMID 35903759.
- Also identified by DOI 10.1109/tkde.2018.2850347 and PMC identifier 9328027.
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Abstract
Change Point Detection (CPD) is the problem of discovering time points at which the behavior of a time series changes abruptly. In this paper, we present a novel real-time nonparametric change point detection algorithm called SEP, which uses Separation distance as a divergence measure to detect change points in high-dimensional time series. Through experiments on artificial and real-world datasets, we demonstrate the usefulness of the proposed method in comparison with existing methods.