Activation data exception detection and analysis method and device

A technology for activating data and anomaly detection, applied in the computer field, can solve problems such as difficulty in activating data, easy to cause misjudgment, inability to activate data detection, etc. effect of cause

Active Publication Date: 2020-03-10
BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] 1. The existing technology is difficult to determine the threshold range of activation data, which is easy to cause misjudgment
Only individual indicator data can be detected by setting thresholds, and activation data cannot be fully detected
[0005] 2. After the existing technology uses a threshold to determine whether there is an abnormality in the activation data, it is necessary to manually analyze the cause of the abnormality in the activation data, resulting in high time and labor costs and low accuracy

Method used

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  • Activation data exception detection and analysis method and device
  • Activation data exception detection and analysis method and device
  • Activation data exception detection and analysis method and device

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Embodiment Construction

[0074] Exemplary embodiments of the present invention are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present invention to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0075] figure 1 is a schematic diagram of the main flow of the method for activating data anomaly detection according to an embodiment of the present invention, as figure 1 shown, including:

[0076] Step S101. Determine the current feature vector according to the current activation data and historical activation data of the channel;

[0077] Step S102, determining the ...

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Abstract

The invention discloses an activation data exception detection and analysis method and device, and relates to the technical field of computers. A specific embodiment of the method comprises the stepsof determining a current feature vector according to current activation data and historical activation data of a channel; determining the similarity between the current feature vector and a referencefeature vector in a feature vector library; and determining whether the current activation data is exceptional or not according to the similarity. According to the embodiment, the technical defects that in the prior art, when whether the activation data of the channel is exceptional or not is detected, the threshold value is difficult to determine, and the activation data cannot be comprehensivelydetected are overcome; therefore, the beneficial effects that whether the activation data of the current channel is exceptional or not is accurately, comprehensively and automatically judged, subsequent analysis of reasons for exception of the activation data is facilitated, and manual intervention is not needed are achieved.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method and device for abnormal detection and analysis of activation data. Background technique [0002] During the promotion, the software can judge whether the promotion channel is running normally according to the activation data. The detection of abnormality in the current activation data mainly adopts threshold detection and manual investigation. If the current activation data exceeds the threshold, it is necessary to manually analyze the activation data to determine the cause of the abnormality. [0003] In the course of realizing the present invention, the inventor finds that there are at least the following problems in the prior art: [0004] 1. In the prior art, it is difficult to determine the threshold range of the activation data, which may easily lead to misjudgment. By setting thresholds, only individual indicator data can be detected, and activation data cann...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/26H04L12/24G06F11/36G06K9/62
CPCH04L43/0823H04L43/14H04L43/16H04L41/14H04L41/142G06F11/3672G06F18/22
Inventor 田玉杰陈俊伟仇路金薇薇李鑫姚书清朱林李务军
Owner BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD
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