期刊
NEUROCOMPUTING
卷 374, 期 -, 页码 49-53出版社
ELSEVIER
DOI: 10.1016/j.neucom.2019.09.032
关键词
Anomaly detection; Time-series; Online; Univariate; R
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据