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Colleges And Universities Teaching Course System Subsystem The Design And Implementation Of Data Mining

Posted on:2013-06-17Degree:MasterType:Thesis
Country:ChinaCandidate:Y P ZouFull Text:PDF
GTID:2248330374485725Subject:Software engineering
Abstract/Summary:PDF Full Text Request
The general framework of data mining system is given firstly in the paper. Firstly, the basicknowledge of data mining, the steps and data mining algorithm for mining, are also introduced.Secondly, the detailed analysis of key technology from data mining system construction isintroduced. Thirdly, the basic process and some classical algorithm of data mining of associationrules are introduced. How to find out the frequent item sets is the most sourece-consumming of themining system by using the data mining of association rules. the paper gives the rules depthdescription. The Fp-Growth algorithm of association rules is analyzed in detail. Some optimizationmethod to improve association rules is also introduced in detail. Modified Fp-Growth algorithm isput forward. The experiments show its validity.In this paper, educational management system from Academic Management System of JiangsuWuxi Institute of Communications Technology is used as a case for the data mining. Based on thestudent achievement, the curriculum-related data mining association rules is used to get the studentcourse choice. The data association rules of the data mining is also applied on the online courseselection system. It can provide the teaching management with an effective data analysis and helpthe teaching managers make effective instructional decision-making. The high-quality informationsupporting can be got from the data mining.The innovation of the paper is that data mining technology is used in course-selection system.The large course data can be organized and managed effectively. Thus, useful information can helpthe teaching managers make effective teaching-decision. Based on courses confidence principle, theassociation rules of the data mining is applied on the course selection system. The advice can begiven to the students’ course choosing. The course choosing knowledge system can evaluated. Thestudents can have their better study arrangement. The teaching managers can have their more perfectdiscipline establishment. The teaching quality can also be improved greatly.
Keywords/Search Tags:Data Mining, Association Rules, Data Preprocess, Fp-Growth algorithm
PDF Full Text Request
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