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Time sequence anomaly detection method and device, server and storage medium

A time series and anomaly detection technology, applied in the computer field, can solve the problem of large error in time series detection

Pending Publication Date: 2019-09-24
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, this detection method has a large detection error for time series with large changes or periodicity.

Method used

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  • Time sequence anomaly detection method and device, server and storage medium
  • Time sequence anomaly detection method and device, server and storage medium
  • Time sequence anomaly detection method and device, server and storage medium

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Embodiment

[0034] A time-series anomaly detection method provided in an embodiment of the present application may be applied to a server (eg, a time-series anomaly detection server or other specially configured servers).

[0035] figure 1 For a block diagram of the hardware structure of a server provided in the embodiment of this application, refer to figure 1 , the hardware structure of the server may include: at least one processor 11, at least one communication interface 12, at least one memory 13 and at least one communication bus 14;

[0036] In the embodiment of the present invention, there are at least one processor 11, communication interface 12, memory 13, and communication bus 14, and the processor 11, communication interface 12, and memory 13 complete mutual communication through the communication bus 14;

[0037] Processor 11 may be a central processing unit CPU, GPU (Graphics Processing Unit, graphics processor), or a specific integrated circuit ASIC (Application Specific I...

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Abstract

The invention provides a time sequence anomaly detection method and device, a server and a storage medium. The method comprises: extracting original features of a time sequence; processing the original features of the time sequence to obtain abstract features of the time sequence; performing anomaly detection on the abstract features of the time sequence based on a target anomaly detection model to obtain an anomaly detection result of the time sequence, wherein the target abnormity detection model is obtained through training in a supervised learning mode. The time sequence detection method and device are more universal in time sequence detection and higher in accuracy.

Description

technical field [0001] The present invention relates to the field of computer technology, more specifically, to a time series anomaly detection method, device, server and storage medium. Background technique [0002] Time series refers to the sequence formed by arranging the values ​​of a certain statistical indicator in a certain field at different times in chronological order. Time series anomaly detection has always been a concern of academia and industry. [0003] In the existing sliding window-based time series detection, the value of the next time point is predicted through the statistical information in the sliding window, such as the average and median. If the actual value at the next time point does not match the predicted value, the time series is considered abnormal. However, this detection method has a large detection error for time series with large changes or periodicity. Contents of the invention [0004] In view of this, the present invention provides a ...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/2155
Inventor 范奇
Owner TENCENT TECH (SHENZHEN) CO LTD
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