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Vocational Students' Mental Data Mining Application

Posted on:2010-09-25Degree:MasterType:Thesis
Country:ChinaCandidate:X Y ZhaoFull Text:PDF
GTID:2208360308965955Subject:Software engineering
Abstract/Summary:PDF Full Text Request
In the 21st century, China's education is facing away from the traditional exam-oriented education to quality education and to character education, and with the standard of living and the improvement of mental health issues are becoming increasingly attracted the concern of all sectors of society, in-depth study of students mental health status and explore the children's psychological intervention model became the colleges and other sectors of education research priorities. With the rapid maturing of the development of data mining techniques and applications, continuous streams of data mining techniques in solving specific problems and the law implicit in the data mining aspects of other techniques demonstrated can not match advantages. The data mining (DM) technology is superior to others in the aspect of finding out the hidden laws of data. With the maturation of DM and the expansion of its applications, many scholars begin to study how to apply DM to the teaching and management of higher education. After lots of literatures referred and DM Deeply understood, it is studied that the application of DM to the psychology of undergraduate students.In this thesis, the research work through the psychological analysis and data mining technology, a combination of both at home and abroad set of data mining technology development status and vocational college students psychological problems and psychological problems of vocational college students to solve the pressing . Analysis of the psychological problems in the vocational college students in the process of resolving the feasibility of combining data mining techniques. In this thesis, data mining and data warehouse and the basic principles of ID3 decision tree algorithm and the Apriori association rules algorithm is carried out a detailed analysis, the use of ID3 decision tree algorithm and the Apriori association rules algorithm to data on the psychological problems of vocational college students to predict, analyze psychological problems of that exist between their properties is an intrinsic link, in order to solve the psychological problems of vocational college students to provide new ideas and methods, so that the work of the school counseling more effective.
Keywords/Search Tags:Data Mining, Decision Tree, Association rule, Psychology faulty
PDF Full Text Request
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