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otsad: A package for online time-series anomaly detectors
Journal article   Peer reviewed

otsad: A package for online time-series anomaly detectors

Alaine Iturria, Jacinto Carrasco, Santi Charramendieta, Angel Conde and Francisco Herrera
Neurocomputing (Amsterdam), Vol.374, pp.49-53
21/01/2020

Abstract

Computer Science Computer Science, Artificial Intelligence Science & Technology Technology
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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