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数据挖掘技术在图书馆流通服务中的应用
Application of Data Mining Technology in Library Circulation Services

DOI: 10.12677/HJDM.2012.23006, PP. 25-31

Keywords: 数据挖掘;关联规则;Apriori算法;流通服务
Data Mining
, Association Rules, Apriori Algorithm, Circulation Service

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Abstract:

本文根据经典Apriori算法思想编写了数据挖掘程序,并利用此挖掘程序对经过预处理后的数据进行了挖掘。在挖掘过程中为保证获得的关联规则真实、可靠,对同一组数据采用了不同的支持度计算方法,不同的数据细化粒度多次运行,结合详细的读者借阅信息对获得的关联规则进行综合分析,发现了一些有价值的关联关系。将获得的关联关系用于指导图书馆的流通服务工作,不断开拓流通服务工作的深度和广度,逐步提高读者满意度。
The data mining program based on the classic Apriori algorithm was designed in this paper. It has gone through the pretreatment data mining by using this mining program to mine those data. In order to make the obtained association rules true, reliable, adopting supporting calculation methods on the same set of data used in the mining process, multiplying the runs of different granularity of data refinement combined with detailed Readers information on the association rules and obtaining comprehensive analysis, finding some valuable relationships between them. Using the obtained association relations to guide the library circulation service, constantly opening up the depth and breadth of circulation and service work, gradually increasing readers’ satisfaction toward our work.

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