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Analysis of Students’ Mark Based on Data Warehouse and Data Mining

Author: QuLiNa
Tutor: QiHong
School: Jilin University
Course: Computer System Architecture
Keywords: Data Mining Data Warehouse Analysis of student achievement Association rules
CLC: TP311.13
Type: Master's thesis
Year: 2008
Downloads: 657
Quote: 3
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Abstract


Data warehousing and data mining technology is IT research hotspot issues. Current data mining technology in business, finance and corporate production , marketing and other aspects have been widely used, and in the field of education is relatively small , with the college enrollment expansion , increasing the number of students , distribution of student achievement and more complex, in addition to the traditional analysis of student achievement to get some conclusions , there are some subtle message hidden among so the data mining based on data warehouse technology is introduced into the analysis of student achievement can be found affect student achievement the real reason is conducive to improving the quality of teaching in a targeted manner . In this paper, the data warehouse and data mining based on a thorough understanding of knowledge , introduced data warehouse and data mining the basic theory ; elaborated data mining association rules and cluster analysis of the basic algorithm ; build a data warehouse based on student achievement , including on student achievement data warehouse design , modeling and data extraction , transformation and loading ; data mining association rules and clustering algorithm for in-depth study and an improved Apriori algorithm is applied to the established student achievement data warehouse, to achieve student achievement and academic knowledge questions associated information knowledge mining and analysis . Analyze the different titles in different courses for teachers in teaching effect , which results in teachers teaching courses in which the results were quite good ; compare the same subject in a different class arrangements , students grasp the situation is good or bad and so on. These analyzes carried out on the teaching work and improvement has certain 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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