Title :
Application of Improved Apriori Algorithm on Educational Information
Author :
Yang, Qiang ; Hu, Yanhong
Author_Institution :
Coll. of Comput. Sci., Yangtze Univ., Jingzhou, China
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;
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
DOI :
10.1109/ICGEC.2011.82
