基于序列模式挖掘的读者借阅行为分析

The Analysis of Reader Borrow Behavior Based on Sequential Pattern Mining

针对图书馆读者借阅事务中存在的序列特征,提出一种基于序列模式挖掘的读者借阅行为分析方法,其思想是通过将借阅事务转化为序列数据库,基于PrefixSpan算法来识别读者借阅行为序列模式。以某高校图书馆读者借阅事务数据为例,通过序列模式挖掘实验表明,此方法可有效获取读者借阅行为的时序规律,其结果在图书馆信息服务中具有一定的应用价值。

According to the sequence characteristics of borrowing hehavior of library readers,this paper proposes an analysis method of borrowing behavior based on sequential pattern mining.With this method,the borrowing behavior patterns of the readers are identified by PrefixSpan algorithm from sequence database transformed by borrowing services.Taking the borrowing transaction data of a university library reader as an example,a sequential pattern mining experiment is performed.The result shows that the timing rules of borrowing behavior can be obtained effectively with this method,which has some applying values in the information service of libraries.