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Data mining in the student evaluation system application

Author: CaoShuai
Tutor: GuoGuiSuo
School: Beijing Institute of Technology
Course: Computer Science and Technology
Keywords: Data Mining Association rules Apriori algorithm Graduate Admissions Student evaluation system
CLC: TP311.13
Type: Master's thesis
Year: 2011
Downloads: 124
Quote: 0
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In recent years as the growth of the scale of database and the development of artificial intelligence, data mining, as a kind of new information technology to get fast development. Data mining to dig out the valuable knowledge from the database as the target. And association rule mining is an important research direction in the field of data mining technology. Since these years with the development and the reform of the system of graduate education in colleges and universities, and university students' employment difficult problem increasingly prominent, led to the expansion of graduate student recruit students in various colleges and universities across the country, students are of variable quality, cause the loss of graduate training quality, so how to improve the quality of students is crucial. In this paper, by means of data mining technology, and Apriori algorithm, through the analysis of the association rules mining in the graduate admissions and enrollment quality related information, for the decision-making departments and tutors provide helpful information. First of all, this paper carries on the detailed analysis and introduction of data mining technology; Secondly focus on understanding as well as to the Apriori algorithm for mining association rules of implementation; Then apply association rule mining and Apriori algorithms to realize student assessment system, from two different aspects of recommend avoid try and unified exam matriculate quality related information and conclusions.

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