基于模式分类的图书借阅规律挖掘

Books Borrowing Rules Mining Based on Pattern Classification

本文收集了某学院近4年的图书借还数据,采用模式分类方法挖掘图书借阅规律,发现借还量逐年递减。读者借阅的爱好集中在语言文字、文学、工程技术、艺术4类。研究表明,图书借阅的时间模式可分为3类,空间模式可分为5类。图书借阅的峰顶值出现在3月和9月,峰谷值出现在2月和8月。通过对图书借还量规律的挖掘,可以发现人们的阅读习惯,了解学校人才培养的规律。

This paper collects data on circulation of library materials from a college for the past four years. It uses model classification methods to dig out the laws of borrowing books, and finds that the amount of borrowings is declining year by year. The readers are interested in language, literature, engineering, and art. Studies have shown that the time modes of book borrowing can be divided into three categories, and the spatial model is divided into five categories. Peaks for book borrowing appeared in March and September, while valleys appeared in February and August.Through the law of book borrowing, we can find people＇s reading habits and recognize the law of college＇s personnel training.