Application Research Of Data Mining In College Enrollment

At this stage,by the national policy,the total number of college entrance examination students continued to decline,in this context,most of the students are facing the problem of students,if there is no source,will undoubtedly affect their survival,this phenomenon highlighted in private college.Relevant statistics show that in recent years,most of our private institutions,whether it is the total enrollment,or the quality of students,there have been varying degrees of decline,and the downward trend will continue.Based on this,the researchers began to focus on the solution to these problems.For example,through the college entrance examination strategy changes,or professional scientific settings and other measures to accurately carry out the enrollment plan.To achieve the above objectives,it is necessary to analyze the relevant data and information,if the analysis by artificial means,no doubt unrealistic,then,it needs to be implemented through data mining technology.In the course of this study,the following aspects are studied emphatically.The first part of the paper made a description of the problem,at the same time,also the purpose of the paper and the significance of the analysis.In order to make the research of the paper have some advanced nature,the recent research results of data mining technology at home and abroad are also analyzed.The second part of the data mining technology overview.In this chapter,the paper focuses on the theory of data mining to clarify that the data mining technology in the application of colleges and universities to lay the theoretical foundation.First,the basic concept of data mining technology is clarified.Secondly,the process of data mining is described.Again,the function of data mining technology is analyzed.Finally,it is the data mining technology commonly used methods are described.Part III System Requirements Analysis.Here,first of all from the system feasibility analysis,including technical,economic,operability and so on.Secondly,the functional modules of the system platform are studied,and the key modules are three key.Finally,the non-functional requirements of the system platform are analyzed,including security,convenience and other requirements.Through the system requirements analysis,for the construction of the system platform laid the foundation.Part IV system design.Through the analysis of the requirements of the third chapter,in the content of this chapter,the design of the various functional modules of the system,but also the design of the database structure table,which for the follow-up system platform to lay the foundation for the specific development.The fifth part of the data mining related algorithms in the application of the system.In this chapter will be combined with Apriori algorithm and C4.5 algorithm to carry out specific operations.First,the new data into the system platform,and its classification,on the one hand for the training set,on the other hand for the test set.The calculation data of the training set are calculated respectively,and the corresponding decision model is constructed based on the calculated results.Finally,the test set data is used to test,and the scientific and rationality of the model construction is determined.After the model is confirmed correctly,it can be applied to the data mining,access to data in the association rules and classification rules.In order to realize the data mining of the enrollment work of private University.The last part of the system is implemented.The key function modules of the system platform are introduced,especially the key function modules which are beneficial to data mining.