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otsad: A package for online time-series anomaly detectors.

Authors :
Iturria, Alaiñe
Carrasco, Jacinto
Charramendieta, Santi
Conde, Angel
Herrera, Francisco
Source :
Neurocomputing. Jan2020, Vol. 374, p49-53. 5p.
Publication Year :
2020

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09252312
Volume :
374
Database :
Academic Search Index
Journal :
Neurocomputing
Publication Type :
Academic Journal
Accession number :
139706503
Full Text :
https://doi.org/10.1016/j.neucom.2019.09.032