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A data abnormality detection method and device, a computer device and a storage medium

A technology of data anomaly and detection method, applied in the computer field, can solve problems such as low accuracy

Active Publication Date: 2018-12-18
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] Based on this, it is necessary to provide a data anomaly detection method, device, computer equipment and storage medium for the problem of relatively low accuracy of anomaly detection caused by traditional methods

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  • A data abnormality detection method and device, a computer device and a storage medium
  • A data abnormality detection method and device, a computer device and a storage medium
  • A data abnormality detection method and device, a computer device and a storage medium

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Embodiment Construction

[0038] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0039] figure 1 It is an application scenario diagram of the data anomaly detection method in an embodiment. refer to figure 1 , this application scenario includes a data reporting device 110 and an anomaly detection device 120 connected through a network. The data reporting device 110 is a device for reporting data points, and the anomaly detection device 120 is a device for performing anomaly detection processing on the reported data points. Both the data reporting device 110 and the anomaly detection device 120 may be terminals or servers. The terminal may be a smart TV, a desktop computer, ...

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Abstract

The invention relates to a data abnormality detection method and device, a computer device and a storage medium. The method comprises the steps of: acquiring a time sequence, wherein the time series comprises a target data point and a historical data point reported before the target data point, and the target data point and the historical data point are arranged according to the time sequence reported; Performing primary anomaly identification on the time series by a primary decision mode; When a suspected anomaly of the time series is identified, extracting features of the time series; Inputting the extracted feature data into an anomaly detection model and outputting an anomaly detection result for the target data point, wherein the anomaly detection model is trained by a supervised machine learning algorithm. The scheme of the present application improves the accuracy of anomaly detection.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a data anomaly detection method, device, computer equipment and storage medium. Background technique [0002] With the rapid development of science and technology, the use of online systems is becoming more and more extensive. In order to ensure the normal operation of the online system and the accuracy of online data, anomaly detection is particularly important. [0003] In the traditional method, anomaly detection is carried out by setting a threshold, that is, a value is artificially set as the threshold, and if it exceeds this threshold, it is considered abnormal. However, in the actual situation, the data forms are different. This method of judging whether the data is abnormal simply by setting a threshold is too absolute, resulting in a relatively low accuracy rate of abnormal detection. Contents of the invention [0004] Based on this, it is necessary to provide a da...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/07
CPCG06F11/0766
Inventor 刘彪张戎李剑锋胡婧茹汪华任思宇刘玉杰肖世广林向东
Owner TENCENT TECH (SHENZHEN) CO LTD