Abstract:

How the library classifies and arranges books to facilitate readers’ search is of great significance to constructing a readeroriented library On the basis of analyzing data mining techniques based on association rules, combined with RFID application in the National Library of China(NLC), 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, two solutions are applied for optimizing purpose and the optimized algorithm is presented and explained in detail By using the historical circulation records gathered from the Library Integration System of NLC, empirical study of the algorithm is made with java program languages and finally the result analysis is given Study shows that the readers of NLC more like to borrow literature, history and technology books, and the appropriate adjustment of the position of these books will bring greater convenience to readers

Key words: circulation data, data mining, association rules, Apriori algorithm