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
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;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-2406-9
DOI :
10.1109/ICCIS.2012.81
