公开(公告)号：US20240281313A1

公开(公告)日：2024-08-22

申请号：US18582808

申请日：2024-02-21

Applicant: SEMES CO., LTD.

Inventor： Hojune LEE ,  Donghyun JUN

IPC: G06F11/07 ,  G06F11/30

CPC classification number: G06F11/0751 ,  G06F11/3072

Abstract: An operating method of a system for analyzing abnormal data includes generating an anomaly detection model by using a training data set including a plurality of pieces of multivariate time-series data, comparing first time-series data input to the anomaly detection model with second time-series data output from the anomaly detection model through an operation on the first time-series data, determining whether or not the first time-series data includes abnormal data, on the basis of the comparison between the first time-series data and the second time-series data, comparing a first plurality of data elements included in the first time-series data with a second plurality of data elements included in the second time-series data, and detecting at least one data element on the basis of a result of comparing the first plurality of data elements with the second plurality of data elements.