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Big data detection and analysis method and system for online car-hailing, express and take-out apps

A technology of data analysis and data detection, applied in the field of big data analysis, can solve problems such as wrong closing of car-hailing users, and achieve the effect of ensuring the safety of life and property, and maintaining normal social order.

Pending Publication Date: 2022-04-29
天津市国瑞数码安全系统股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Fully understand the significance of harmful phone calls, strictly control the channels of harmful phone calls, comprehensively improve technical prevention capabilities, strengthen source governance, standardize commercial marketing behaviors in key industries, detect and punish illegal crimes according to law, improve laws and regulations, refine responsibilities, Implement layer by layer to accelerate the rectification of harmful phone calls; however, because the calling behavior of app users of online car-hailing, express delivery, and food delivery companies is very similar to that of harmful phone calls, many app users of online car-hailing, express delivery, and food delivery companies have been mistakenly shut down Happening

Method used

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  • Big data detection and analysis method and system for online car-hailing, express and take-out apps
  • Big data detection and analysis method and system for online car-hailing, express and take-out apps
  • Big data detection and analysis method and system for online car-hailing, express and take-out apps

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Effect test

Embodiment 1

[0040] The present invention provides a big data detection and analysis method for online car-hailing, express delivery, and takeaway enterprise apps, such as figure 1 shown, including:

[0041] 1-1: Collect the log data of online car-hailing, express delivery, and food delivery enterprise apps for initialization processing to obtain initialization log data;

[0042] 1-2: Using the initialization log data to obtain the characteristics of the initialization log data;

[0043] 1-3: Using the characteristics of the initialized log data to obtain the detection and analysis results of the log data;

[0044] Among them, the log data is traffic data and app online behavior data.

[0045] Step 1-1 specifically includes:

[0046] 1-1-1: Determine whether the log data has data pending status, if so, perform data supplementation to obtain the initialized log data, otherwise, use the log data directly as the initialized log data;

[0047] Among them, the data supplement operation is m...

Embodiment 2

[0057] The present invention provides a big data detection and analysis system for online car-hailing, express delivery, and takeaway enterprise apps, such as figure 2 shown, including:

[0058] The collection module is used to collect the log data of online car-hailing, express delivery, and takeaway enterprise apps for initialization processing to obtain initialization log data;

[0059] An acquisition module, configured to use the initialization log data to acquire characteristics of the initialization log data;

[0060] An analysis module, configured to use the characteristics of the initialized log data to obtain log data detection and analysis results.

[0061] The log data of the collected online car-hailing, express delivery, and takeaway enterprise app are initialized and processed to obtain the initialized log data including:

[0062] Determine whether the log data has data pending status, if so, perform data supplementation to obtain the initialized log data, oth...

Embodiment 3

[0073] The present invention provides a specific implementation method for big data detection and analysis of online car-hailing, express delivery, and takeaway enterprise apps, such as image 3 shown, including:

[0074] This solution analyzes the log data of app users of online car-hailing, express delivery, and food-delivery companies to discover the characteristics of their online behaviors compared with ordinary users; uses the Decision Tree model, a machine learning method, to learn communication and calling behaviors and establish online car-hailing , express delivery, takeaway enterprise app user identification model.

[0075] The Decision Tree model is a tree structure that describes and classifies instances. It is composed of nodes and directed edges. There are two types of nodes, internal nodes and leaf nodes. Internal nodes represent a feature and attribute, and leaf nodes represent a class.

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Abstract

The invention relates to a big data detection and analysis method and system for online car-hailing, express and take-out apps. The big data detection and analysis method for the online car-hailing, express and take-out apps comprises the steps that log data of online car-hailing, express and take-out enterprise apps are collected and initialized to obtain initialized log data; utilizing the initialized log data to obtain initialized log data features; and obtaining a log data detection analysis result by using the initialized log data features, thereby realizing accurate discovery of harmful calls, and protecting online car-hailing, express and take-out enterprise app users. Normal social order is maintained, and life and property safety of common people is guaranteed.

Description

technical field [0001] The invention relates to the field of big data analysis, in particular to a big data detection and analysis method and system for online car-hailing, express delivery, and takeaway enterprise apps. Background technique [0002] With the development of China's economy and society, such strange calls ring from time to time, and the problem of harmful calls caused by them is becoming more and more prominent, which makes many people unbearable. upgrade". Fully understand the significance of harmful phone calls, strictly control the channels of harmful phone calls, comprehensively improve technical prevention capabilities, strengthen source governance, standardize commercial marketing behaviors in key industries, detect and punish illegal crimes according to law, improve laws and regulations, refine responsibilities, Implement layer by layer to accelerate the rectification of harmful phone calls; however, because the calling behavior of app users of online...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04M3/22G06K9/62
CPCH04M3/2281G06F18/214G06F18/24323
Inventor 许高尚吴冠标胡文波李新齐帅
Owner 天津市国瑞数码安全系统股份有限公司
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