DocumentCode
1701569
Title
Application of Improved Apriori Algorithm on Educational Information
Author
Yang, Qiang ; Hu, Yanhong
Author_Institution
Coll. of Comput. Sci., Yangtze Univ., Jingzhou, China
fYear
2011
Firstpage
330
Lastpage
332
Abstract
Based on the Apriori algorithm analysis and research, this paper points out the main problems on the application, and puts forward the improved algorithm. Finally, This algorithm was used to the data education mining, Through the application of the algorithm to mining the education information, we found the correlation rules of course which provided the directive significance information for the curriculum.
Keywords
data mining; educational administrative data processing; a priori algorithm analysis; correlation rules; data education mining; educational information; Algorithm design and analysis; Correlation; Data mining; Educational institutions; Transaction databases; Apriori algorithm; Educational information; the correlation of courses;
fLanguage
English
Publisher
ieee
Conference_Titel
Genetic and Evolutionary Computing (ICGEC), 2011 Fifth International Conference on
Conference_Location
Xiamen
Print_ISBN
978-1-4577-0817-6
Electronic_ISBN
978-0-7695-4449-6
Type
conf
DOI
10.1109/ICGEC.2011.82
Filename
6042793
Link To Document