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Data exception identification method and system, electronic equipment and medium

A technology of abnormal data and identification method, applied in the computer field, can solve the problem of low identification accuracy, and achieve the effect of improving the identification accuracy

Pending Publication Date: 2022-06-03
携程旅游信息技术(上海)有限公司
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The technical problem to be solved by the present invention is to provide a method, system, electronic device and medium for identifying abnormal data in order to overcome the defect of low recognition accuracy of abnormal data of user portraits in the prior art

Method used

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  • Data exception identification method and system, electronic equipment and medium
  • Data exception identification method and system, electronic equipment and medium
  • Data exception identification method and system, electronic equipment and medium

Examples

Experimental program
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Embodiment 1

[0038] like figure 1 As shown, this embodiment discloses a method for identifying data anomalies, and the identifying method includes:

[0039] Step 101, obtaining the index parameters of the user portrait data; the index parameters are used to represent the parameters of the user portrait data changes;

[0040] The index parameters include the update rate of the user portrait data, the change rate of the user portrait data, the deletion rate of the user portrait data, the forward KL divergence of the user portrait data, and the backward KL divergence of the user portrait data.

[0041] In this solution, the update rate of user portrait data, the change rate of user portrait data, and the deletion rate of user portrait data are indicators of data volume change, and the forward KL divergence of user portrait data and the backward KL divergence of user portrait data are: Data content change indicator. Specifically, as figure 2 As shown, the update rate of user portrait data ...

Embodiment 2

[0066] like image 3 As shown, this embodiment discloses an identification system for abnormal data, and the identification system includes:

[0067] The acquisition module 1 is used to acquire the index parameters of the user portrait data; the index parameters are used to represent the parameters of the user portrait data changes;

[0068] The index parameters include the update rate of the user portrait data, the change rate of the user portrait data, the deletion rate of the user portrait data, the forward KL divergence of the user portrait data, and the backward KL divergence of the user portrait data.

[0069] In this solution, the update rate of user portrait data, the change rate of user portrait data, and the deletion rate of user portrait data are indicators of data volume change, and the forward KL divergence of user portrait data and the backward KL divergence of user portrait data are: Data content change indicator. Specifically, as figure 2 As shown, the upda...

Embodiment 3

[0094] Figure 4 This is a schematic structural diagram of an electronic device according to Embodiment 3 of the present invention. The electronic device includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor implements the method for identifying data anomalies provided in Embodiment 1 when the processor executes the program. Figure 4 The electronic device 40 shown is only an example, and should not impose any limitation on the function and scope of use of the embodiments of the present invention.

[0095] like Figure 4 As shown, the electronic device 40 may take the form of a general-purpose computing device, which may be, for example, a server device. The components of the electronic device 40 may include, but are not limited to: the above-mentioned at least one processor 41 , the above-mentioned at least one memory 42 , and a bus 43 connecting different system components (including the memory 42 and...

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Abstract

The invention discloses a data exception identification method and system, electronic equipment and a medium. The identification method comprises the steps that index parameters of user portrait data are acquired; the index parameters are used for representing user portrait data change parameters; whether the index parameters conform to normal distribution or not is judged, if yes, parameter anomaly detection is carried out on the index parameters to recognize abnormal data, and if not, non-parameter anomaly detection is carried out on the index parameters to recognize abnormal data. According to the invention, the abnormal data identification accuracy of the user portrait is improved.

Description

technical field [0001] The present invention relates to the field of computer technology, and in particular, to a method, system, electronic device and medium for identifying abnormal data. Background technique [0002] In the current OTA industry, the adoption of data-driven business is an industry trend. Based on massive user basic attributes, transactions, browsing and other behavioral data, we construct user-based portrait tags through data cleaning, aggregation, and mining. In the process of generating portrait labels, whether the data can enter the downstream process accurately and efficiently is a key issue that needs to be paid attention to. [0003] The current strategies for abnormal monitoring of user profile data mainly have the following problems: [0004] First, there are many portrait labels, which are independent of each other, and the dimensions are not uniform. It is difficult to use a single-dimensional standard for quantification and abnormal inspection...

Claims

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Application Information

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IPC IPC(8): G06F16/9035
CPCG06F16/9035
Inventor 李康吴克贤陈海强陆刚邹宇
Owner 携程旅游信息技术(上海)有限公司
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