seq2graph: Discovering Dynamic Non-linear Dependencies from Multivariate Time Series

Discovering temporal lagged and inter-dependencies in multivariate time series data is an important task. However, in many real-world applications with big data, such as commercial cloud management or predictive maintenance in manufacturing, such dependencies can be time-variant and non-linear, whic...

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Vydané v:	2019 IEEE International Conference on Big Data (Big Data) s. 1774 - 1783
Hlavní autori:	Dang, Xuan-Hong, Shah, Syed Yousaf, Zerfos, Petros
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.12.2019
Predmet:	Big Data Data models Logic gates Multivariate Time Series Neural Network Predictive models Recurrent neural networks Task analysis Time series analysis
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