数据挖掘技术的改进在图书馆个性化服务中的应用  

Application of the Improving Data Mining Technique in the Individualized Service of the Digital Library

作　　者：陆觉民[1] 郑宇[1] 

机构地区：[1]上海大学图书馆,上海200072

出　　处：《现代图书情报技术》2006年第8期65-68,共4页New Technology of Library and Information Service

摘　　要：Apriori算法是关联规则挖掘的一个经典算法,在分析关联规则挖掘算法的基础上,提出利用HASH表技术及减少生成候选集的数量对经典Apriori算法进行改进,从而提高图书馆数据资源的利用率,加强图书馆个性化服务。The Apriori algorithm is a classical method of association rules mining. Based on analysis of this theory, the paper provides an improved Apriori algorithm. The paper puts foward with algorithm combines HASH table technique and reduction of candidate item sets to enhance the usage efficiency of resources as well as the individualized service of the data library.

关 键 词：APFIOFI算法 关联规则 HASH表 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] G252[自动化与计算机技术—计算机科学与技术]