Network user behavior prediction system

A technology for predicting system and network users, applied in the field of mobile Internet, can solve the problems of not supporting massive user mobile network data analysis and mining, unable to accurately identify users, unable to effectively avoid contingency, etc., to avoid contingency and improve clustering stability. , the effect of high prediction accuracy

Inactive Publication Date: 2016-12-14
吴本刚
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This technology helps analyze large amounts of wireless communication networks for users who have been connected or interacted within them. It also improves upon existing algorithms that were used earlier but still had issues such as being affected by noise from other sources like cell phones). Overall, this innovative technique allows us better understanding how people behave over time and makes it easier to gather important insights into their behaviors more accurately than previous methods.

Problems solved by technology

This patented technology describes different systems that can analyze and identify groups of people who are connected with each other through their networks. These technical problem addressed include how well these identities represent real world situations where they may be involved without being affected negatively due to factors like external influences such as weather conditions or communication delays between them.

Method used

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Experimental program
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Embodiment 1

[0033] See figure 1 , figure 2 , The network user behavior prediction system of this embodiment includes a data collection and storage module 1, a data preprocessing module 2, a user network behavior analysis module 3, and a data display module 4 that are connected in sequence; the data collection and storage module 1 is used to pass the collection device Collect and store useful data of the user's mobile Internet; the data preprocessing module 2 is used to clean and clean the useful data, filter out data containing noise and abnormalities, and form an effective data set for user behavior analysis, and The effective data set is transmitted to the user network behavior analysis module 3; the user network behavior analysis module 3 is used to classify and analyze the effective data set, analyze the user behavior, and output the user behavior analysis result The data display module 4 is used to display the user behavior analysis results to the user; the user network behavior analys

Embodiment 2

[0050] See figure 1 , figure 2 , The network user behavior prediction system of this embodiment includes a data collection and storage module 1, a data preprocessing module 2, a user network behavior analysis module 3, and a data display module 4 that are connected in sequence; the data collection and storage module 1 is used to pass the collection device Collect and store useful data of the user's mobile Internet; the data preprocessing module 2 is used to clean and clean the useful data, filter out data containing noise and abnormalities, and form an effective data set for user behavior analysis, and The effective data set is transmitted to the user network behavior analysis module 3; the user network behavior analysis module 3 is used to classify and analyze the effective data set, analyze the user behavior, and output the user behavior analysis result The data display module 4 is used to display the user behavior analysis results to the user; the user network behavior analys

Embodiment 3

[0067] See figure 1 , figure 2 , The network user behavior prediction system of this embodiment includes a data collection and storage module 1, a data preprocessing module 2, a user network behavior analysis module 3, and a data display module 4 that are connected in sequence; the data collection and storage module 1 is used to pass the collection device Collect and store useful data of the user's mobile Internet; the data preprocessing module 2 is used to clean and clean the useful data, filter out data containing noise and abnormalities, and form an effective data set for user behavior analysis, and The effective data set is transmitted to the user network behavior analysis module 3; the user network behavior analysis module 3 is used to classify and analyze the effective data set, analyze the user behavior, and output the user behavior analysis result The data display module 4 is used to display the user behavior analysis results to the user; the user network behavior analys

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Abstract

The invention discloses a network user behavior prediction system, and the system comprises a data collection and storage module, a data preprocessing module, a user network behavior analysis module and a data presentation module, wherein the data collection and storage module, the data preprocessing module, the user network behavior analysis module and the data presentation module are connected sequentially. The data collection and storage module is used for collecting and storing the useful mobile Internet data of a user through collection equipment. The data preprocessing module is used for carrying out the data clearing and cleaning of the useful data, filtering the data comprising noise and abnormality, forming an effective data set of user's behavior analysis, and enabling the effective data set to be transmitted to the user network behavior analysis module. The user network behavior analysis module is used for carrying out the arrangement and analysis of the effective data set, carrying out the analysis of the behaviors of the user, and outputting a user's behavior analysis result. The data presentation module is used for presenting the user's behavior analysis result to the user. The system supports the analysis and mining of a large amount of mobile Internet data of the user, and is good in prediction effect.

Description

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Claims

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Application Information

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Owner 吴本刚
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