DocumentCode
569458
Title
Application of Data Mining in University Research Management System
Author
Zhonglin, Tang ; Xueping, Ni
Author_Institution
Sch. of Econ. & Manage., Southwest Pet. Univ., Chengdu, China
fYear
2012
fDate
17-19 Aug. 2012
Firstpage
761
Lastpage
763
Abstract
With the in-depth development of information technology in colleges and universities, more and more colleges and universities are using the research management system. How to effectively utilize the large amounts of data in the system, ancillary departments and their manager´s scientific decision-making has become a priority. This paper studies how to use data mining methods in the Apriori algorithm for mining association rules in university research management system.
Keywords
data mining; decision making; educational administrative data processing; educational institutions; Apriori algorithm; ancillary departments; association rules; colleges; data mining; information technology; manager scientific decision making; university research management system; Association rules; Decision making; Economics; Educational institutions; Itemsets; Petroleum; associataion rules; data mining; database; research management systgem;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on
Conference_Location
Chongqing
Print_ISBN
978-1-4673-2406-9
Type
conf
DOI
10.1109/ICCIS.2012.81
Filename
6300700
Link To Document