摘要
在收集图书流通数据并对这些数据进行预处理的基础上,利用数据挖掘中的决策树算法,采用SPSS Clementine发现图书借阅率与利用率高的子类,以提高图书采购效率。
This paper firstly collects books lending data and preprocesses these data.Secondly,the paper introduces a algorithm of decision tree and finds higher efficiency of books lending and books using by using of SPSS Clementine.Finally,an experiment is gived.The experimental results show that the method has efficiently.
出处
《电脑开发与应用》
2011年第1期20-21,共2页
Computer Development & Applications
基金
江西省教育厅科研项目资助(GJJ10566)
关键词
数据挖掘
决策树
图书采购效率
data mining
decision tree
books purchasing efficiency
