Real-Time Change Point Detection with Application to Smart Home Time Series Data

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 chan...

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Vydáno v:	IEEE transactions on knowledge and data engineering Ročník 31; číslo 5; s. 1010 - 1023
Hlavní autoři:	Aminikhanghahi, Samaneh, Wang, Tinghui, Cook, Diane J.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.05.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Activity transition detection Algorithms Change detection Change detection algorithms Detection algorithms Dimensional changes Divergence Measurement Monte Carlo simulation Prediction algorithms Real time Real-time systems separation distance Smart buildings Smart homes Time series Time series analysis time series data
ISSN:	1041-4347, 1558-2191
On-line přístup:	Získat plný text
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