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System and method for detecting outliers in real time for univariate time series signals
专利权人:
タタ コンサルタンシー サービシズ リミテッド
发明人:
ウキル アリジット,バンドヨパディアイ ソマ,パル アルパン
申请号:
JP2016121204
公开号:
JP6611677B2
申请日:
2016.06.17
申请国别(地区):
JP
年份:
2019
代理人:
摘要:
Disclosed is a method and system for detecting outliers in real-time for a univariate time-series signal. The system may receive the univariate time-series signal, comprising a plurality of datasets, from a data source. The system may compute a standard deviation of a dataset of the plurality of datasets. Subsequently, the system may compute the optimal sample block size and the critical sample size of the dataset. Further, the system may determine the optimal operational block size of the dataset. The system may segment the plurality of datasets into blocks based upon the optimal operational block size. The system may detect the outliers by performing an outlier detection technique on the blocks, thereby ensuring improved execution time while minimally affecting precision and accuracy of the outcome of the outlier detection method.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

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