DOAJ Open Access 2023

Automata Based Multivariate Time Series Analysis for Anomaly Detection over Sliding Time Windows

Arnold Hien Nicolas Beldiceanu Claude-Guy Quimper María-I. Restrepo

Abstrak

We describe an optimal linear time complexity method for extracting patterns from sliding windows of multivariate time series that depends only on the length of the time series. The method is implemented as an open-source Java library and is used to detect anomalies in multivariate time series.

Topik & Kata Kunci

Engineering machinery, tools, and implements

Penulis (4)

Arnold Hien

Nicolas Beldiceanu

Claude-Guy Quimper

María-I. Restrepo

Format Sitasi

APA MLA BibTeX

Hien, A., Beldiceanu, N., Quimper, C., Restrepo, M. (2023). Automata Based Multivariate Time Series Analysis for Anomaly Detection over Sliding Time Windows. https://doi.org/10.3390/engproc2023039065

Akses Cepat

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Informasi Jurnal

Tahun Terbit: 2023
Sumber Database: DOAJ
DOI: 10.3390/engproc2023039065
Akses: Open Access ✓