基于Hadoop分布式系统及Apriori关联规则挖掘算法的智能图书馆建设研究  

Research on Intelligent Library Construction Based on Hadoop Distributed System and Apriori Association Rule Mining Algorithm

作　　者：王丽君[1] 路一平[1] WANG Lijun;LU Yiping(Hebei North University Library,Zhangjiakou Hebei 075000,China)

机构地区：[1]河北北方学院图书馆,河北张家口075000

出　　处：《信息与电脑》2023年第12期7-9,共3页Information & Computer

基　　金：河北省科学技术厅项目“‘平安中国’科普图书创作”(项目编号:21556203K)。

摘　　要：随着大数据技术、人工智能技术的发展,依托大数据平台对图书馆内的海量书籍信息、其他信息资源进行整合存储,成为智能图书馆建设与管理的重要方向。为满足智能图书馆资源检索、借阅、推荐及下载的服务需求,基于Hadoop分布式软件框架技术建立多层资源调度与共享的智慧图书馆管理平台,利用Apriori关联规则挖掘技术、数据仓库技术进行馆内图书资源的采集、清洗与存储操作,根据用户个性阅读需求挖掘相关的图书资源信息。With the development of big data technology and artificial intelligence technology,relying on big data platform to integrate and store massive book information and other information resources in the library has become an important direction of intelligent library construction and management.To meet the service requirements of intelligent library resource retrieval,borrowing,recommendation,and download,a multi-layer resource scheduling and sharing intelligent library management platform is established based on Hadoop distributed software framework technology.Apriori association rule mining technology and data warehouse technology are used to collect,clean,and store book resources in the library,and relevant book resource information is mined based on users'personalized reading needs.

关 键 词：分布式系统 关联规则挖掘算法 智能图书馆 建设 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]