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Data anomaly detection method and device and electronic equipment

A detection method and anomaly detection technology, applied in the field of data processing, can solve the problems of low detection accuracy of anomaly detection system, achieve the effect of solving low detection accuracy, real-time discovery, and improving detection rate

Pending Publication Date: 2022-02-08
INDUSTRIAL AND COMMERCIAL BANK OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide a data anomaly detection method, its device, and electronic equipment, so as to at least solve the technical problem of low detection accuracy of the anomaly detection system in the related art

Method used

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  • Data anomaly detection method and device and electronic equipment
  • Data anomaly detection method and device and electronic equipment
  • Data anomaly detection method and device and electronic equipment

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Experimental program
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Embodiment 1

[0037] According to an embodiment of the present invention, an embodiment of a data anomaly detection method is provided. It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and, although A logical order is shown in the flowcharts, but in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0038] figure 1 is a flow chart of an optional data anomaly detection method according to an embodiment of the present invention, such as figure 1 As shown, the method includes the following steps:

[0039] Step S102, receiving product operation data.

[0040] Step S104, sending the product operation data to the target park, where the target park is connected to an anomaly detection system, and a data detection model is running in the anomaly detection system, and the data detection model will cause the ...

Embodiment 2

[0077] figure 2 It is a schematic diagram of an optional method for improving the accuracy of an artificial intelligence alarm system according to an embodiment of the present invention, including the following steps:

[0078] Step 1: Confirm the trained model, use the historical sample data in production for basic model training to obtain the initial model, and put the model into production to build an anomaly detection system (wherein, the anomaly detection system can be divided into different parks (for example, A and B parks), different parks can perform different functions, and the system can be set up with dual parks and active-active to reduce the pressure on the single park system).

[0079] Step 2: The production data is connected to the corresponding park in real time. After passing through the abnormality detection system, the initial model detects the data. According to the model output training results, it is preliminarily determined whether the data is abnormal,...

Embodiment 3

[0097] A data anomaly detection device provided in this embodiment includes a plurality of implementation units, and each implementation unit corresponds to each implementation step in the first embodiment above.

[0098] Figure 4 is a schematic diagram of an optional data anomaly detection device according to an embodiment of the present invention, such as Figure 4 As shown, the detection device may include: a receiving unit 40, a first sending unit 42, an analysis unit 44, and a second sending unit 46, wherein,

[0099] A receiving unit 40, configured to receive product operation data;

[0100] The first sending unit 42 is used to send product operation data to the target park, where the target park is connected to an anomaly detection system, and a data detection model is running in the anomaly detection system, and the data detection model will cause a loss value during the model training process The sample data whose rate is greater than the preset probability thresho...

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Abstract

The invention discloses a data anomaly detection method, a data anomaly detection device and electronic equipment. The detection method comprises the steps that product operation data is received and sent to a target park, an anomaly detection system is connected to the target park, and a data detection model runs in the anomaly detection system; the data detection model mines sample data causing a loss value rate to be greater than a preset probability threshold value in a model training process and retrains the sample data, the loss value rate is used for indicating a ratio of a sample data volume of a model classification error to a total data volume, an anomaly detection system is adopted to analyze product operation data; a detection result is acquired and abnormal data is sent in the detection result to an alarm system. According to the invention, the technical problem of low detection accuracy of an anomaly detection system in the prior art is solved.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular, to a data anomaly detection method and device thereof, and electronic equipment. Background technique [0002] In the financial technology industry, most companies / companies have begun to build alarm systems based on artificial intelligence algorithms to identify abnormal data so that relevant personnel can quickly process these data. In related technologies, by introducing a mature artificial intelligence algorithm, a model trained based on historical data is designed to detect abnormal data in production and then issue an alarm. However, the existing model is obtained through training and iteration of the offline data of the previous cycle. With the rapid development of the financial business field, there are many difficult positive and negative samples in various training samples, which leads to the current model The actual detection rate is reduced, which reduc...

Claims

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Application Information

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IPC IPC(8): G06F16/2458
CPCG06F16/2465G06F16/2462
Inventor 张为欢王培君管虹翔梁广会
Owner INDUSTRIAL AND COMMERCIAL BANK OF CHINA
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