In this article, we discussed an analysis method of library 's hook circulation data, the association rule mining method.
本文探讨了图书流通数据的一种量化分析方法-关联规则的挖掘。
To meet more extensive mining demand, this paper presents another immune association rule mining method, which aimes at the largest frequent item set.
针对更一般的挖掘需求，提出一种以最大频繁项目集为目标的免疫挖掘算法。
With the application of association rule mining method to libraries' book circulation data of some certain patrons, the concealed relations among the data could be uncovered.
对某一读者群在一定时期内所借阅图书的流通数据应用关联规则的挖掘分析方法，可以发现读者在进行专业学习时隐含的各学科知识之间的关联。
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