Borrowing data mining based on association rules

摘要：

This article based on the actual university library business needs,using association rules to mining analysis universities Library students borrow data. First the library history borrowing data pretreatment,including data cleaning,data integration,data transformation and transaction database construction; Then the association rules mining algorithm MFP-Miner algorithm is applied to the transaction database,mining the association rules of borrowing books,for borrowing books and books recommended services providing scientific data support,so as to enhance the service quality of library.

关键词： data mining association rule MFP-Miner algorithm

作者: xiaojian.long yuchun.wu

作者单位: School of Continuing Education Jinggangshan University Jian,Jiangxi ,China 343009 School of Electronic and Information Engineering Jinggangshan University Jian,Jiangxi,China 343009

会议类型: 国际会议

会议名称: 2012 International Conference on Computer Science and Electronic Engineering(2012 IEEE计算机科学与电子工程国际会议 ICCSEE 2012)

会议地点: 杭州

会议语种:英文

页码: 239-242

在线出版日期: 2012-03-23（万方平台首次上网日期，不代表论文的发表时间）