分布式架构的个性化图书馆系统研究

Research on Personalized Library System Based on Distributed Architecture

图书馆个性化服务越来越受到读者的青睐。而提供优质个性化服务需要数据挖掘技术作为支撑,如Apriori算法,遗传算法、分类聚类等。在介绍关联规则及其挖掘过程基础上,文章用开源的分布式数据库中间件Cobar来搭建图书馆个性化系统,以运行经典的Apriori算法为例,说明了该分布式系统具备易部署、易使用维护、以并行计算缩减运算时间等主要特性。

Personalized service of library has been more and more popular with readers. And providing high-quality personalized service needs data mining technology as the support, such as Apriori algorithm, genetic algorithm, classification, clustering and so on. On the basis of introducing association rules and its mining process, this paper used open source distributed database middleware Cobar to build library personalized system. Taking the classic Apriori algorithm for example, it showed that the distributed system had the main characteristics of easy deployment, easy to use, maintenance, parallel computing and computing time reduction.