DocumentCode
568130
Title
The application of data mining technology based on teaching information
Author
Wang, Jian ; Lu, Zhubin ; Wu, Weihua ; Li, Yuzhou
Author_Institution
Coll. of Appl. Technol., Southwest Univ., Chongqing, China
fYear
2012
fDate
14-17 July 2012
Firstpage
652
Lastpage
657
Abstract
Data mining deepens the data analysis, also is able to mine the interesting mode hiding in mass data automatically. As a new data analysis technology, data mining makes full use of the modern software technology and computer scientific knowledge, has the extremely important research significance, provides for researchers of various fields with a new intelligence means to realize and use data. In data mining, association rule learning is a popular and well researched method for discovering interesting relations between variables in large databases. This paper makes a series of data analysis and research on the application of data mining technology in the students´ scores. This paper use Apriori algorithm of association rules to analyze the intrinsic link among various courses, dig out the precedence relationship and association of students´ learning courses, reveal the teaching regularities and problems from large amount of data, as well as to provide a strong basis for reasonable course-setting.
Keywords
data analysis; data mining; educational technology; teaching; Apriori algorithm; association rule learning; computer scientific knowledge; data analysis; data mining technology; modern software technology; teaching information; Algorithm design and analysis; Association rules; Education; Itemsets; Association Rule; Data Mining; Frequent Itemsets;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science & Education (ICCSE), 2012 7th International Conference on
Conference_Location
Melbourne, VIC
Print_ISBN
978-1-4673-0241-8
Type
conf
DOI
10.1109/ICCSE.2012.6295159
Filename
6295159
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