The applied research based on decision tree of data mining in third-party logistics

被引：0

作者：

Wang Qian ^{[1
]}

Wu Yaohua ^{[1
]}

Xiao Jiwei ^{[1
]}

Pan Guang-Feng ^{[2
]}

机构：

[1] Shandong Univ, Logist Inst, Jinan 250100, Shandong, Peoples R China

[2] Shandong Univ Finan, Dept Comp & Informat Engn, Jinan, Shandong, Peoples R China

来源：

2007 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS, VOLS 1-6 | 2007年

关键词：

the third-party; decision tree; information gain; prepruning; rule;

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：

The Key question of Decision Tree algorithm is selecting the best division standard. This article introduces the building methods and steps of ID3 algorithm of Decision Tree. Based on the training set, by computing and comparing continuously, we selected the appropriate property as the tree root, as sub tree root, and repeated the process continually, and build the optimized decision tree in the end. Furthermore, we applied the decision tree on the analysis of the customer group of the third-party logistics company, and got some practical values.

引用

页码：1540 / +

页数：2

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