数据挖掘技术在高职院校图书馆阅读推广中的应用策略  

Application Strategies of Data Mining Technology in Reading Promotion in Vocational College Libraries

作　　者：陈敏[1] CHEN Min(Fujian Agricultural Vocational and Technical College,Fuzhou 350007,China)

机构地区：[1]福建农业职业技术学院,福州350007

出　　处：《移动信息》2025年第4期311-313,共3页Mobile Information

摘　　要：文中探讨了数据挖掘技术在高职院校图书馆阅读推广中的应用。首先,阐述了数据挖掘技术的概念,接着分析了其特点,然后从数据来源丰富性、技术适用性、成本效益合理性和技术发展成熟性4个方面论证了数据挖掘技术在阅读推广中的应用可行性。最后,详细阐述了数据挖掘技术在高职院校图书馆阅读推广中的4种应用策略,分别是基于关联规则挖掘的图书推荐、利用聚类分析实现读者群体细分、基于分类算法的阅读行为预测以及借助文本挖掘优化阅读推广内容。This paper discusses the application of data mining technology in the reading promotion of higher vocational college libraries.Firstly,the concept of data mining technology is described,and then its characteristics are analyzed.Then,the feasibility of data mining technology in reading promotion is demonstrated from four aspects:data source richness,technical applicability,cost-effectiveness rationality and maturity of technical development.At last,four application strategies of data mining technology in reading promotion of libraries in higher vocational colleges are described in detail,which are book recommendation based on association rule mining,cluster analysis to achieve reader group segmentation,reading behavior prediction based on classification algorithm and text mining to optimize reading promotion content.

关 键 词：数据挖掘技术 高职院校图书馆 阅读推广 关联规则挖掘 

分 类 号：G252[文化科学—图书馆学]