Abstract—The traditional library data mining that generally uses only a single data source is likely to lose a number of important factors in the mining results. This paper attempts to overcome the drawback by utilizing multiple data sources, specifically, the library circulation information and grade information of the students from two departments. The use of association rule algorithm to explore the relationships in data preprocessing finds some circulation rules about literature books and language books, etc. Through analyses we draw a conclusion from the perspective of providing a useful reference for management, which is very helpful to guide the students' reading behavior.

Index Terms—CHAID, data mining, grade information, library circulation

Sanhong Dengand Hao Wang are with the Information Management School, Nanjing University, Nanjing, 210093, China(e-mail:sanhong@nju.edu.cn; ywhaowang@nju.edu.cn)).
Jiahang Qin is with the Library, Nanjing University of Finance and Economics, Nanjing, 210046, China(e-mail: qjh@njue.edu.cn).

Cite: Sanhong Deng, Jiahang Qin, and Hao Wang, "Research on the Relationship between Grades and Borrowing Log Based on Data Mining," International Journal of Computer and Communication Engineering vol. 1, no. 4, pp. 326-330 , 2012.