Invention Grant
- Patent Title: System and method for detecting outliers in real-time for a univariate time-series signal
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Application No.: US15184494Application Date: 2016-06-16
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Publication No.: US10733264B2Publication Date: 2020-08-04
- Inventor: Arijit Ukil , Soma Bandyopadhyay , Arpan Pal
- Applicant: Tata Consultany Services Limited
- Applicant Address: IN Mumbai
- Assignee: Tata Consultancy Services Limited
- Current Assignee: Tata Consultancy Services Limited
- Current Assignee Address: IN Mumbai
- Agency: Finnegan, Henderson, Farabow, Garrett & Dunner LLP
- Priority: com.zzzhc.datahub.patent.etl.us.BibliographicData$PriorityClaim@20fc3a12
- Main IPC: G06F17/18
- IPC: G06F17/18 ; G06F19/00 ; H04W4/00

Abstract:
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.
Public/Granted literature
- US20160371228A1 SYSTEM AND METHOD FOR DETECTING OUTLIERS IN REAL-TIME FOR A UNIVARIATE TIME-SERIES SIGNAL Public/Granted day:2016-12-22
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