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Examination admission intelligent prediction method based on big data

A technology of intelligent prediction and big data, applied in data processing applications, instruments, calculations, etc., can solve the problems of voluntary filling, unreasonable gradient of voluntary filling, and wrong self-level prediction.

Inactive Publication Date: 2017-01-11
武汉颂大教育科技股份有限公司
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Problems solved by technology

[0002] At present, there are usually situations in the voluntary filling of the senior high school entrance examination: voluntary filling together; mistakes in predicting one's own level; unreasonable gradient of voluntary filling, etc.

Method used

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  • Examination admission intelligent prediction method based on big data
  • Examination admission intelligent prediction method based on big data
  • Examination admission intelligent prediction method based on big data

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Embodiment Construction

[0020] Specific embodiments of the present invention are described in detail below, which, as a part of the description, illustrate the principle of the present invention through examples, and other aspects, features and advantages of the present invention will become clear through the detailed description.

[0021] Such as figure 1 As shown, it is a schematic structural diagram of an intelligent prediction method for examination admission based on big data in a preferred embodiment of the present invention. The intelligent prediction method for examination admission based on big data in the present invention is characterized in that it includes the following steps:

[0022] A. Category management: According to the template, import the content required for the basic data maintenance of the system in the senior high school entrance examination filing data over the years. Collect the content of various schools, school divisions, enrollment types, enrollment areas, batch settings...

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Abstract

The invention discloses an examination admission intelligent prediction method based on big data. The method includes following steps: A, category management: collecting admission information of different times and regions, and checking data integrity; B, data acquisition; C, data preprocessing; D, system modeling: establishing a model for predicting aspiration reporting and admission results; E, data visualization: emphasizing the display technology of data in order to present clear and visual data to users, performing visualization configuration and statistical analysis configuration, checking organization data according to statistical configuration, and presenting a data result according to the visualization configuration; F, statistical analysis; and G, prediction analysis: predicting applied colleges in accordance with the condition according to mock exam scores in the current year and examination scores of the users. According to the method, valuable aspiration reporting reference information can be effectively provided for massive students and parents through complete data analyses.

Description

technical field [0001] The invention relates to the technical field of education examination admission prediction, in particular to an intelligent prediction method for examination admission based on big data. Background technique [0002] At present, there are usually situations in the voluntary filling of the senior high school entrance examination: the volunteers fill in together; the prediction of one's own level is wrong; How to choose an ideal school for senior high school entrance examination candidates is particularly critical for voluntary reporting. With the popularization of the Internet, the majority of senior high school entrance examination candidates and their parents urgently need a complete set of continuous data as a reference for filling in the high school entrance examination volunteers. The present invention aims to integrate the filing data of senior high school entrance examination over the years, and provide candidates and parents with valuable volun...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/20
CPCG06Q50/2053
Inventor 徐春林梁勋亮王力罗乐谢伟张汉斌岳甫
Owner 武汉颂大教育科技股份有限公司
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