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Graduate destination dynamic monitoring method based on mobile signaling big data

A technology of mobile signaling and signaling data, applied in the direction of location information-based services, geographic information databases, service signaling, etc., can solve problems such as inaccurate analysis conclusions, difficult to guarantee the authenticity of data, insufficient grasp of dynamic information, etc. , to achieve the effect of reliable data source and high credibility

Active Publication Date: 2021-03-26
北京融信数联科技有限公司
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  • Summary
  • Abstract
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AI Technical Summary

Problems solved by technology

[0002] As a group with relatively advanced knowledge reserves, college graduates' employment status will directly affect economic development, social security and stability, and graduates themselves. However, current research on graduates is mostly limited to before leaving school. The post-school dynamic information is not fully grasped, and the post-school information is mostly based on traditional questionnaire survey techniques. It is difficult to guarantee the authenticity of the data, and the analysis conclusions drawn are not accurate enough.

Method used

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Embodiment Construction

[0014] The concrete realization process of the present invention is as follows:

[0015] Step 1: Data collection: Use the signaling data of the telecom operator to collect the location of the base station sector where each IMSI identification number is located, and the time information of entry and exit, and perform data cleaning, delete duplicate data, and ensure data consistency.

[0016] Step 2: Data preprocessing: Interpolation compensation is performed for the lack of signaling in and out of the base station. If the user only enters a certain base station but does not leave the base station within the statistical time period, or only leaves a certain base station but does not enter the base station time, then The missing data is interpolated, and the interpolation time point is the start time and end time of the statistical time period;

[0017] For example, user T enters sector X at 21:00:00 on June 1, leaves sector X at 7:00:00 on June 2, and user T enters sector Y at 2...

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Abstract

According to the graduate destination dynamic monitoring method based on mobile signaling big data provided by the invention, dynamic and effective mining and analysis are carried out on living and working conditions of graduates after leaving schools by virtue of mobile signaling containing rich information, designed calibers and algorithms, data sources are reliable, analysis results are high incredibility. And a reliable basis can be provided for relevant management departments to make decisions.

Description

technical field [0001] The invention belongs to the technical field of mobile big data mining and application, and specifically relates to a method for analyzing the whereabouts of graduates based on mobile signaling big data. Background technique [0002] As a group with relatively advanced knowledge reserves, college graduates' employment status will directly affect economic development, social security and stability, and graduates themselves. However, current research on graduates is mostly limited to before leaving school. The post-school dynamic information is not fully grasped, and the post-school information is mostly based on traditional questionnaire survey techniques. It is difficult to guarantee the authenticity of the data, and the analysis conclusions drawn are not accurate enough. Contents of the invention [0003] The purpose of the present invention is to provide a method for analyzing the whereabouts of college graduates based on mobile signaling big data,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/26G06Q50/20G06F16/29G06F16/215H04W4/029H04W4/20H04W8/18
CPCG06Q50/26G06Q50/205G06F16/29G06F16/215H04W4/029H04W4/20H04W8/18Y02D30/70
Inventor 成立立秦星星刘增礼于海薇
Owner 北京融信数联科技有限公司
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