Abstract—On the base of analyzing data mining techniques based on association rules, a method of applying Apriori association rules to classify and analyze library circulation data is discussed. In order to remedy the defections of Apriori association method, optimizing algorithm is presented and explained in detail. By using the historical circulation data gathered from the Library Integration System of NLC (National Library of China), this paper studies the circulation data collecting, processing and classifying methods and analyzes the actual circulation data of NLC from 2012 to 2014 with the java programs. Finally, some suggestions for improving the service quality and meeting the readers’ reading requirements are given through the analysis results.

Index Terms—classifications of circulation data, association rules, optimizing Apriori algorithm, empirical study

Cite: Wen Ru, Zhanhong Xin, Di Gan, and Jun Xing, "A Study on Associations between Different Classifications of Library Circulation Data," Vol. 6, No. 3, pp. 173-177, August, 2015. doi: 10.12720/jait.6.3.173-177