基于数据挖掘的图书馆读者阅读社区构建研究  

Research on the Construction of Library Readers' Reading Community Based on Data Mining

作　　者：李娜[1] LI Na(Libraru of Tianjin Vocational Institute, Tianjin 300100, China)

机构地区：[1]天津职业大学图书馆,天津300100

出　　处：《农业图书情报学刊》2018年第6期92-95,共4页Journal of Library and Information Sciences in Agriculture

摘　　要：随着人们物质生活的日益改善,图书馆信息资源需求量得到快速增加。一直以来,图书馆作为人们阅读的重要场所,受到广大读者的喜爱。近年来,随着图书馆开放意识的不断提高,阅读社区这种新的阅读形式受到广大读者的喜爱,人们在阅读社区可以享受到图书馆提供的所有服务,阅读社区得到快速的发展,同时阅读社区读者数据得到大量积累。文章利用数据挖掘技术,对图书馆读者阅读社区大量历史数据进行挖掘,构建了基于数据挖据的图书馆读者阅读社区模型,为图书馆服务质量的提升打下基础。With the improvement of people＇s material life, the demands for library information resource has increased rapidly.All along, library as an important place for people to read, is loved by the majority of readers. In recent years, with the increasing open awareness, reading community is popular, and people in the community can enjoy all the library reading service. Reading community has got rapid development, at the same time reader data of reading community has also got a lot of accumulation. This paper used the data mining technology to excavate the historical data of reading community, and constructed the reading community model for readers of library based on data mining, to lay the foundation for the improvement of service quality of library.

关 键 词：数据挖掘 图书馆 读者 阅读社区 

分 类 号：G252[文化科学—图书馆学]