摘要
随着互联网的发展,人们日常的生活内容正在逐渐转化为数据,数据的重要性逐渐被人们所认知,数据挖掘技术也在逐渐被应用到实际生活中。在图书借阅分析系统中,通过使用决策树C4.5算法分析图书借阅信息,计算信息增益率,构建基于图书借阅信息的决策树模型,通过该模型产生读者最具满意度的图书,将数据挖掘技术扩展应用到图书馆借阅领域,为用户提供一个良好的图书借阅推荐系统。
With the development of the Internet, people＇s daily life has been gradually transformed into the data.The importance of data has also been realized by people. Data mining technology is gradually applied in real life.In this library borrowing analysis system, it used the decision tree C4.5 algorithm analysis to analyze libraryinformation and calculate the information gaining rate, and then constructed a model of decision tree based on library borrowing information to get the most satisfying books of library readers, which realized the application of data mining technology in the field of library and provided a great book lending recommendation system for users.
出处
《农业图书情报学刊》
2017年第2期69-72,共4页
Journal of Library and Information Sciences in Agriculture
关键词
数据挖掘
用户模型
图书系统
借阅分析
data mining
user model
library system
borrowing analysis
