Real-time Change-Point Detection: A deep neural network-based adaptive approach for detecting changes in multivariate time series data-Reference-Cited by-同舟云学术

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Real-time Change-Point Detection: A deep neural network-based adaptive approach for detecting changes in multivariate time series data

Published:2022-12 Issue: Volume:209 Page:118260
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Gupta Muktesh^ORCID,Wadhvani Rajesh^ORCID,Rasool Akhtar^ORCID

Funder

Alan Turing Institute

Government of the United Kingdom

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference64 articles.

1. Singular value decomposition (SVD) and generalized singular value decomposition;Abdi;Encyclopedia of Measurement and Statistics,2007

2. Bayesian online changepoint detection;Adams,2007

3. Bayesian online prediction of change points;Agudelo-España,2020

4. A survey of methods for time series change point detection;Aminikhanghahi;Knowledge and Information Systems,2017

5. Unsupervised online memory-free change-point detection using an ensemble of LSTM-autoencoder-based neural networks;Atashgahi,2021

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