Borrowing data mining based on association rules
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.
data mining association rule MFP-Miner algorithm
xiaojian.long yuchun.wu
School of Continuing Education Jinggangshan University Jian,Jiangxi ,China 343009 School of Electronic and Information Engineering Jinggangshan University Jian,Jiangxi,China 343009
国际会议
杭州
英文
239-242
2012-03-23(万方平台首次上网日期,不代表论文的发表时间)