Invention Grant
- Patent Title: Method for determining optimal anomaly detection model for processing input data
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Application No.: US17083205Application Date: 2020-10-28
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Publication No.: US11308366B2Publication Date: 2022-04-19
- Inventor: Ki Hyun Kim
- Applicant: MakinaRocks Co., Ltd.
- Applicant Address: KR Seoul
- Assignee: MakinaRocks Co., Ltd.
- Current Assignee: MakinaRocks Co., Ltd.
- Current Assignee Address: KR Seoul
- Agency: Seed IP Law Group LLP
- Priority: KR10-2019-0134215 20191028,KR10-2020-0022451 20200224
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06N3/08

Abstract:
Disclosed is a computer program stored in a computer readable storage medium according to an exemplary embodiment of the present disclosure. When the computer program is executed by one or more processors of a computing device, the computer program may perform operations for managing a model, and the operations may include: generating an anomaly detection model including a plurality of anomaly detection sub models having a pre-learned network function through using a plurality of training data subsets included in a training data set; determining one or more anomaly detection sub models for calculating an input data among the generated anomaly detection sub models; and judging whether or not the anomaly is existed in the input data through using the one or more determined anomaly detection sub models.
Public/Granted literature
- US20210124981A1 METHOD FOR DETERMINING OPTIMAL ANOMALY DETECTION MODEL FOR PROCESSING INPUT DATA Public/Granted day:2021-04-29
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