数据挖掘在图书馆大数据利用中的应用

Application of Data Mining in the Utilization of Big Data in Libraries

在图书馆的日常运营中,每天都会产生大量的图书流通数据。这些数据不仅仅是记录读者信息和业务统计的工具,更隐藏着巨大的潜在价值。通过对这些数据的深度挖掘,发现读者的借阅行为、图书分类、学科特点以及读者类型之间存在一定的关联。这些关联对于图书馆优化资源配置、提高资源利用率以及提升服务水平具有重要意义。结合实际经验,首先分析数据挖掘技术在图书馆应用的必要性,然后探讨数据挖掘的基本技术。同时,还提出将数据挖掘技术应用于数字图书馆系统的基本步骤,并深入研究数据挖掘技术在图书馆读者借阅行为分析中的应用。

A large amount of book circulation data is generated every day in the daily operation of libraries,which is not only a tool to record reader information and business statistics,but also hides enormous potential value.We discover that there is a certain relationship among the borrowing behavior of readers,book classification,discipline features and reader types through the in-depth mining of the data,which is of great significance for libraries to opti⁃mize resource allocation,increase resource utilization and improve service levels.Combined with actual experience,this paper will first analyze the necessity of applying data mining technology in libraries,and then explore basic data mining techniques.At the same time,the paper will propose the basic steps of applying data mining technology to digital library systems,and deeply study the application of data mining technology in the analysis of the borrowing behavior of library readers.