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。
In this article, we discussed an analysis method of library 's hook circulation data, the association rule mining method.
图书馆的数据包括MARC记录、匿名的书目流通数据以及规范文档。
The library data includes MARC records, anonymized circulation data and authority files.
本文对计算机管理图书流通工作中的系统软件设备和数据质量问题加以分析，提出了相应解决措施。
This paper analyses the problems in books circulation, which are caused by the system software equipments and the quality data and proposes the countermeasures to solve them.
方法：2004年至2006年的流通数据来自图书馆历年的借阅量及馆藏统计报表。
Methods: the circulation data between 2004 and 2006 was basis on the past years 'statistical report of the library.
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。
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。
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.
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