The Design And Implementation Of The Art Examinee Scores Evaluation System Based On Data Mining

In recent years,due to the implementation of enrollment expansion of colleges and universities,and the arts entry threshold is easy,the number of professional applicants for art is increasing year by year,reflecting the competition between art examinee more and more intense.College entrance examination for the examinee and parents are related to their vital interests,many examinee in the review preparation process often lack reference.With the continuous innovation of the network technology,the annual enrollment process will produce a large number of examinee admission data.However admissions staff for most of the data processing is a basic operations such as add,delete,query,rarely on the accumulated data for deep analysis.Big data era has given rise to the development of data mining technology,data mining technology can find hidden in the data,the neglected rules and models,which provide support for the user when making decisions.It is the basic goal of the data mining work to excavate the information that can be used in life from the enrollment data of the candidates.If based on data mining technology to develop a scores evaluation system,Students can be adjusted according to their actual situation,reasonable arrangements for the review plan,increase their chances of admission,admitted to the favorite school.This paper uses Bayesian data mining method and decision tree method,with the help of data mining software SPSS Modeler,obtained in a certain college of Yunnan arts professional enrollment data in recent years,according to the different algorithms on the data requirements of the data pre-processing,followed the process model of data mining,seek the tacit knowledge,established the discriminant model of the file level and the prediction model of the cultural achievement,and evaluated the accuracy of the model,finally,using the current micro-program of small micro-program related technology design and development of the candidates performance evaluation system,in order to be able to apply for the school dance performances major(flight attendance and etiquette direction)art candidates and candidates parents to provide a relatively reasonable reference.The main contents of this paper include several aspects:First,by studying the research status of data mining in the evaluation of the student achievement evaluation system and in the analysis of the candidates 'achievements,the commonly used methods and the methods of data mining in the student achievement evaluation system are analyzed.The methods used in the analysis of the candidates' scores are used to determine the object of this paper.The design of the system to achieve the function.Second,according to the data mining requirements of different data mining methods,the data preprocessing,the establishment of the file level on the discriminant model and cultural performance prediction model,and the accuracy of the model to assess.Third,the use of the current micro-program of small micro-program related technology design and development of the candidates assessment system,with a view to interested in the school dance performances(flight attendants and etiquette direction)professional art candidates and parents to provide a relatively reasonable reference.In short,this topic is a useful attempt and exploration of data mining technology to analyze the data of art students,which is the application of data mining in the field of education.It has certain guiding significance.