图书流通信息关联规则挖掘应用

Association Mining of Application in the Library Circulation Data

该文将数据挖掘技术应用于图书馆数据库,挖掘主题确定后,依次进行了数据选择、数据转换和清理、数据再丰富、编程工作、数据挖掘。利用关联挖掘对图书馆的流通管理数据进行分析,发现读者借阅一类图书时的其他借阅行为,便于为读者推荐相关文献,也可以优化馆藏布局,并为图书馆管理人员提供技术和决策支持。其中数据挖掘是使用Clementine12完成。

In this paper ,Data Mining Techniques is used on the library database. After determined areas of focus on the mining, the stages of the knowledge discovery processes are done,they are Data selection, Cleaning, Enrichment, Coding, Data mining, Reporting. By Analyzing Association Mining of the study,reader’s other borrowing behaviors is recovered when borrowing one type of books. The mining-results can help optimize the layout of library and provide technical and decision support for the library’s managers . Clementine12 is used for Data Mining.