4.6 Article

otsad: A package for online time-series anomaly detectors

期刊

NEUROCOMPUTING
卷 374, 期 -, 页码 49-53

出版社

ELSEVIER
DOI: 10.1016/j.neucom.2019.09.032

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Anomaly detection; Time-series; Online; Univariate; R

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This paper presents otsad, the first R package which implements a set of novel online detection algorithms for univariate time-series. Moreover, this package also provides advanced functionalities and contents such as new false positive reduction algorithm and the novel NAB detectors measurement technique which is specifically designed to measure online time-series anomaly detectors. (C) 2019 Elsevier B.V. All rights reserved.

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