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A flow data clustering processing method, device and electronic equipment

A technology of traffic data and processing methods, applied in the field of big data, can solve problems such as the inability to meet traffic data analysis

Active Publication Date: 2021-06-08
PING AN TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the unsatisfactory requirement for the overall analysis of traffic data of groups existing in related technologies, the present invention provides a clustering processing method, device and electronic equipment for traffic data

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  • A flow data clustering processing method, device and electronic equipment
  • A flow data clustering processing method, device and electronic equipment
  • A flow data clustering processing method, device and electronic equipment

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Embodiment Construction

[0032] Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with aspects of the invention as recited in the appended claims.

[0033] The implementation environment of the present invention may be a portable mobile device, such as a smart phone, a tablet computer, or a desktop computer. The flow data clustering processing method disclosed in the embodiment of the present invention can be applied to any application running on a portable mobile device.

[0034] figure 1 It is a schematic diagram of an apparatus for clusteri...

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Abstract

The present invention mainly relates to the field of big data technology, and discloses a flow data clustering processing method, device and electronic equipment, including: selecting N features in a preset feature library; and selecting features corresponding to the selected features based on flow data value, to obtain the eigenvector of the flow data; according to the eigenvector of the flow data, cluster all the flow data into M clusters; determine the sum of the cluster errors of the clusters that the flow data is divided into under various combinations of M and N values, The sum of cluster error numbers is the result of adding the error numbers of each cluster divided into each cluster. The error number of each cluster refers to the lesser number of white data and black data in the cluster; the smallest cluster error The number of features and the number of clusters corresponding to the sum of the numbers are used as the number of target features and the number of clusters selected when the traffic data is clustered, so that the clustering algorithm can be used to cluster a large amount of traffic data to meet the traffic requirements of the group. The need for overall data analysis.

Description

technical field [0001] The present invention relates to the technical field of big data, in particular to a flow data clustering processing method, device and electronic equipment. Background technique [0002] At present, with the increasing number of Internet users, the Internet field is facing the challenge of massive data flow. Abnormal traffic will inevitably appear in large-traffic data, and these abnormal traffic will bring huge impact and loss to the Internet. For example, many black industrial chains such as Trojan horse seeding, traffic trading, and virtual property cash-out formed by black industries will generate a large amount of abnormal traffic. . [0003] In the implementation of the existing technology, the identification of traffic anomalies is generally determined by collecting user behavior buried points and sdk data to determine the degree of path repetition, the proportion of device front-end and back-end login buried points, the number of ip access ac...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/2455G06K9/62
CPCG06F18/23
Inventor 孙家棣马宁
Owner PING AN TECH (SHENZHEN) CO LTD