Research on Readers' Behavior of College Libraries Based on Data Mining Technology

Abstract

College libraries produce a large amount of book circulation data every day. In addition to recording readers' personal information, these data are generally used for routine business statistics. Their potential use value is far from being fully tapped and utilized. A careful study of readers' long-term borrowing history data reveals that there is a certain correlation between readers' borrowing behavior and books, between different disciplines and between different types of readers and borrowing books. Digging out the correlation between these data is conducive to the rational allocation of resources and improving the utilization of resources. It can also improve the library's service level. Based on the author's learning and practical experience, this paper first analyzed the necessity of applying data mining technology to library and then discussed the basic techniques of data mining. The article proposed the basic steps of applying data mining to digital library systems and finally studied The application of data mining technology in the analysis of library readers' borrowing behavior.