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The Research and Application of Data Mining Technology in Analysis for Students’ Performance

Author: LiuChunYang
Tutor: HuangMing；DuQingHua
School: Dalian Jiaotong University
Course: Software Engineering
Keywords: Data Mining Tree strategy Fuzzy matching Associate
CLC: TP311.13
Type: Master's thesis
Year: 2010
Downloads: 262
Quote: 0
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Abstract


This paper studies the data warehouse and data mining technology in the management and application performance analysis , useful information hidden in the data being extracted from the large amounts of data . Data mining technology in many aspects of the national economy has been widely used, for example : commercial , production enterprises , the financial sector and marketing , in view of this , I think it is necessary the introduction of this technology to the application of a relatively small the field of education . Currently , the development of education soon , especially in the development of higher education , on the one hand, the size of the college and university admissions continued to expand , more and more number of students , student achievement data , on the other hand, also will be complicated . The system is mainly used to deal with tens of millions of college education information recording , statistics and data analysis, and auxiliary expert education analysis and future planning , is conducive to the targeted improve the quality of teaching . This article a thorough understanding of the knowledge of data warehouse and data mining , data mining technology and performance management combined rapid statistical analysis of student achievement data from millions of college and reduce the workload of teachers in the evaluation of students . First, the basic theory of data warehouse and data mining ; Secondly, expounded the basic algorithm of association rules in data mining and tree strategy ; once again , based on student achievement data warehouse , including student achievement data warehouse structure design , model design and data extraction, transformation and loading ; Finally, conduct in-depth research on data mining association rules and tree strategy to improve the algorithm and improved algorithm is applied to the establishment of student achievement data warehouse . In-depth analysis of student achievement data warehouse and reasonable generalization can dig out a lot of valuable data , such as analysis of achievement data , weighted comprehensive evaluation visits per year level student learning , teaching future teachers respond to different courses , different decision - making , and other related courses between the degree of influence of different knowledge points as well as analysis of the different teachers in different courses teaching effect and so on . These analyzes will certainly carry on teaching and improvement of important guiding significance .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Programming > Database theory and systems
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