Data Mining for ERW Welded Tube Scheduling Rules Based on Decision Tree

被引:0
作者
ZhaoNing [1 ]
Dong Shaohua [1 ]
Tian Qing [1 ]
机构
[1] Univ Sci & Technol Beijing, Mech Sch, Beijing 100083, Peoples R China
来源
MEMS, NANO AND SMART SYSTEMS, PTS 1-6 | 2012年 / 403-408卷
关键词
Data mining; Scheduling rules; Decision-Tree; Welded tube;
D O I
10.4028/www.scientific.net/AMR.403-408.1804
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In order to optimize electric- arc welding (ERW) welded tube scheduling, the paper introduces data cleaning, data extraction and transformation in detail and defines the datasets of sample attribute, which is based on analysis of production process of ERW welded tube. Furthermore, Decision-Tree method is adopted to achieve data mining and summarize scheduling rules which are validated by an example.
引用
收藏
页码:1804 / 1807
页数:4
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