Invention Grant
- Patent Title: Auto reinforced anomaly detection
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Application No.: US16820213Application Date: 2020-03-16
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Publication No.: US11422992B2Publication Date: 2022-08-23
- Inventor: Nitin Harale , Sridhar Meenakshisundaram , John SasiKumar Manohar , Uthra Venkatesan
- Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
- Applicant Address: IE Dublin
- Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
- Current Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
- Current Assignee Address: IE Dublin
- Agency: Mannava & Kang, P.C.
- Main IPC: G06F17/00
- IPC: G06F17/00 ; G06F16/215 ; G06F16/2458 ; G06N3/00 ; G06N5/04 ; G06N20/00

Abstract:
Examples of a data anomaly detection system are provided. The system may obtain a query and target data associated with a data anomaly detection requirement. The system may sort the target data into a plurality of data wedges comprising a plurality of events. The system may create a data pattern model for each of the plurality of data wedges. The system may identify a data threshold value and identify a data probity score for each of the plurality of events. The system may create a data probity index and identify a data anomaly cluster for the data pattern model. The system may generate a data anomaly detection result and initiate anomaly detection corresponding to the data anomaly detection requirement. The data anomaly detection result may include the data pattern model deficient of the data anomaly cluster relevant for resolution to the query.
Public/Granted literature
- US20210286780A1 AUTO REINFORCED ANOMALY DETECTION Public/Granted day:2021-09-16
Information query