Design And Implementation Of University Entrance Examination Volunteer Recommendation System Based On Big Data

The 21 st century is the era of big data.Data plays an important role in the development of the companies,the science and technology,and the countries.So doing well in data-mining is significant to the society.The Entrance Examination data is the key to study the trend of the colleges and universities' evolution and their admissions.As for high school graduate who are about to graduate,it is strategic to refer to the former years data when they fill in the Application of College Entrance Examination.The article's Application of College Entrance Examination brainpower recommend system which is based on big data combines each province's former test data and each college's admissions.Using the examinee's grade to analyze the probability of being matriculated.Considering the development of College and their employment and the examinee's survey,provides them the scheme to choose.Therefore,improving the rate of enrolling and thier pleasure major is as possible as we could.The article is contained the following parts:1)Having designed the two key algorithms: the calculating of enrolling rate is based on grey forecasting model of equidimensional,the other is based on hierarchal analysis.2)According to the need to finish the cms database and the design of College Entrance Examination's database,and then clean,classify,combine,submeter.3)Have finished the exploitation of cms system which is based on jeecms postgresql design.achieve the function of anti reptilian technique,membership and permission management,personal test etc.4)Achieved the design of supervisory service.having finished the design and encoding of enrolling test,grade analyzation,filling in the Application of College Entrance Examination and assessment,data query.Having achieved the deploy of the system on the basis of project operation,and tested totally.