Research of A Scalable Decision Tree Algorithm Based on Information Entropy

被引：0

作者：

Wei, XianMin ^{[1
]}

机构：

[1] Weifang Univ, Sch Comp & Commun Engn, Weifang, Peoples R China

来源：

2011 INTERNATIONAL CONFERENCE ON FUTURE COMPUTER SCIENCE AND APPLICATION (FCSA 2011), VOL 2 | 2011年

关键词：

scalable algorithm; classify; decision tree;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper gives a scalable decision tree algorithm based on information entropy(SDTA), this algorithm divides up training stylebook aggregate and imports ACL based on information entropy plus, SDTA cast off memory limits quietly comparing with SLIQ algorithm. And SDTA can build decision trees accurately by experiments.

引用

页码：309 / 310

页数：2