江苏科技信息 ›› 2016, Vol. 33 ›› Issue (1): 57-58.doi: 10.3969/j.issn.1004-7530.2016.01.004
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吴玉春, 龙小建
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Wu Yuchun, Long Xiaojian
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摘要： 文章根据高校图书馆的实际业务需要，运用关联规则对高校图书馆学生的借阅数据进行了挖掘分析。首先将图书馆历史借阅数据进行预处理，预处理包括对数据进行清理、集成、转换以及建立事务数据库；然后利用关联规则挖掘算法（MFP-Miner算法）对事务数据库进行挖掘处理，挖掘出图书借阅的关联规则，为图书借阅、图书推荐等服务提供科学的数据支持，从而提升图书馆服务质量。
关键词: 数据挖掘, 关联规则, MFP-Miner算法
Abstract: Based on the university libraries’ actual business needs, this article uses association rules to analyze book lending data of students in university libraries. First the article puts forward library history lending data pretreatment, including data cleaning, data integration, data transformation and transactional database construction. Then we apply MFP-Miner algorithm to the transaction database mining, aiming to excavate the association rules of lending books, providing scientific data support for lending books and books services, so as to enhance the university libraries’ service quality.
吴玉春, 龙小建. 基于关联规则的图书借阅数据挖掘[J]. 江苏科技信息, 2016, 33(1): 57-58.
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https://qkcb.jssti.cn/jskj/CN/Y2016/V33/I1/57
