Application And Realization Of Data Mining Technology In The Teaching Management

The data mining technology is data analysis techniques developed in the late1990s,the technology can automatically obtain useful patterns or knowledge from a variety ofdata sources. For data mining research direction gradually shift from theoreticalresearch to applied research, such as the successful application of the technology in thefinancial system, but the application in education or in its infancy.In this study, data mining technology and both existing teacher-student database as aresearch-based, major studio study how to effective data mining technology anddatabase of teachers and students of both universities combined, and then find from theflood of data useful data to provide information support to institutions of higher learningdecision-makers. Through the study of the basic principles as well as the basicalgorithm, designed decision tree algorithm based on student assessment module anddata analysis module of the teachers and students based on association rules. Choose touse student assessment module algorithm is improved ID3decision tree algorithm tobuild decision trees, according to the information in the student library and analyticalassessment of students. Teachers and students related data analysis module selectionalgorithm is improved Apriori algorithm library for student achievement, teachers andstudents the basic personal information as well as the evaluation of the student teachersas objects of data mining, exploring the relationship between the various factors foundlaw, to provide information support to the teaching management decisions.The experimental results show that: the application of data mining to institutions ofhigher learning in teaching management decisions can be made to decision makerswhen making decision-making more targeted, has certain practical significance.