DocumentCode :
2950991
Title :
Research on Optimizing Quality of Higher Vocational Education Based on Principal Components Analysis of Data Mining with a Higher Vocational College as an Example
Author :
Hong-bo, Gao ; Xuan, Liu
Author_Institution :
City Coll. of Jiangsu, Nantong, China
fYear :
2011
fDate :
20-21 Aug. 2011
Firstpage :
534
Lastpage :
537
Abstract :
Higher vocational education accounts for half of higher education and is a form of higher education in China. It is a necessary to develop vocational education vigorously for modernization and to improve quality of higher vocational education for social development. The essay has taken a higher vocational college as an example for optimizing strategies of quality of vocational education by using principal components analysis, and identified problems to run vocational colleges, and provided reference to improve the quality of vocational education.
Keywords :
data mining; further education; principal component analysis; vocational training; data mining; higher education; higher vocational college; higher vocational education; modernization; optimizing quality; optimizing strategy; principal components analysis; social development; Correlation; Data mining; Educational institutions; Ethics; Indexes; Principal component analysis; data mining; higher vocational college; optimizing; principal components analysis; quality of education;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligence Science and Information Engineering (ISIE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4577-0960-9
Electronic_ISBN :
978-0-7695-4480-9
Type :
conf
DOI :
10.1109/ISIE.2011.115
Filename :
5997501
Link To Document :
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