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Mobile signaling big data-based leaping frequency analysis method for graduates

A mobile signaling and frequency analysis technology, applied in data processing applications, special data processing applications, data mining, etc., can solve the problems of inaccurate analysis conclusions, limitations, and insufficient grasp of dynamic information, etc., to achieve reliable and reliable data sources. highly reliable effect

Active Publication Date: 2021-03-23
北京融信数联科技有限公司
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AI Technical Summary

Problems solved by technology

[0002] College graduates are a very special one among the social employment groups. Researching the status quo of job-hopping of graduates not only provides a theoretical framework for exploring how to "recruit and retain" college graduates from the perspective of enterprise employee management, but also has implications for college graduates. However, the current research on graduates is mostly limited to before leaving school, and the dynamic information after leaving school is not fully grasped, and the information after leaving school mostly relies on traditional questionnaire survey technology, data It is difficult to guarantee the authenticity of the data, and the analysis conclusions obtained are not accurate enough.

Method used

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Embodiment Construction

[0013] The concrete realization process of the present invention is as follows:

[0014] 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.

[0015] 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;

[0016] 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 22:00 on June 2 :00, and the departure time is 7:00:...

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Abstract

The graduate diving frequency analysis method based on mobile signaling big data provided by the invention dynamically and effectively excavates and analyzes the living and working conditions of graduates after leaving schools by means of mobile signaling containing rich information, designed calibers and algorithms, and is reliable in data source, high in analysis result credibility and high in accuracy. 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 in particular relates to a method for analyzing the job-hopping frequency of fresh graduates based on mobile signaling big data. Background technique [0002] College graduates are a very special one among the social employment groups. Researching the status quo of job-hopping of graduates not only provides a theoretical framework for exploring how to "recruit and retain" college graduates from the perspective of enterprise employee management, but also has implications for college graduates. However, the current research on graduates is mostly limited to before leaving school, and the dynamic information after leaving school is not fully grasped, and the information after leaving school mostly relies on traditional questionnaire survey technology, data It is difficult to guarantee the authenticity of the data, and the analysis conclusions drawn are not accurate...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/2458G06Q10/10
CPCG06F16/2462G06F16/2465G06Q10/105G06F2216/03
Inventor 贺炎俊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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