Time series data anomaly detection model generation method and device and electronic equipment

• Main Authors: SUN TING, DU YUNING, LIU YI, ZHAO QIAO, YU DIANHAI, HU XIAOGUANG, MA YANJUN
• Format: Patent
• Language: Chinese; English
• Published: 04.06.2024
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention provides a time series data anomaly detection model generation method and device and electronic equipment, and relates to the technical field of computers, in particular to the technical field of artificial intelligence such as data processing and deep learning. According to the specific implementation scheme, a plurality of candidate models and a verification data set are obtained, each candidate model is used for time sequence data reconstruction, the verification data set comprises sample time sequence data and a label, and the label is used for describing whether each data in the sample time sequence data is abnormal or not; determining first time sequence data corresponding to the sample time sequence data reconstructed by each candidate model and a first recall rate corresponding to each candidate model; selecting a target model from the plurality of candidate models according to the first time sequence data, the first recall rate and the verification data set; and generating a time series