最大频繁模式挖掘算法在图书馆个性化信息服务中的应用

Application of maximum frequent pattern mining algorithm in library personalized information service

图书馆的不断数字化、个性化信息服务已经成为图书馆服务的一个热点问题,它改变了图书馆传统的被动服务方式,变被动服务为主动服务。首先介绍了数据挖掘与图书馆个性化信息服务的相关理论,进而介绍了数据挖掘技术在图书馆个性化信息服务中的应用,其次利用借阅记录分析了基于FP_tree的最大频繁模式挖掘算法,最后简要介绍了个性化信息服务系统设计过程。

With the continuous digitalization in library construction,personalized information service has become a hot issue in library service,and it changes the traditional passive service into active service.This paper first introduces some related theories about data mining and library personalized information service,and introduces the application of data mining technology to library personalized information service.Then by the usage of borrowing record,it analyzes the maximum frequent patterns mining algorithm based on FP_tree algorithm.Finally,it briefly introduces the designing process of personalized information service system.