DocumentCode
3164397
Title
The application of data mining in erw weld pipe scheduling based on decision tree
Author
Dong, Shaohua ; Li, Xiaona
Author_Institution
Sch. of Mech. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
fYear
2011
fDate
8-10 Aug. 2011
Firstpage
4412
Lastpage
4415
Abstract
As the development of enterprise information, the common problem turns out, that is how to get valuable information from huge database. In this paper it is confirmed that it is feasible and scientific to apply data mining into ERW weld pipe scheduling. The research result will not only provide decision support to ERW weld pipe production management but also supply a new method to optimize production scheduling.
Keywords
data mining; decision support systems; decision trees; production engineering computing; scheduling; welding; ERW weld pipe production management; ERW weld pipe scheduling; data mining; decision support; decision tree; enterprise information; production scheduling optimization; Data mining; Decision trees; Economics; Educational institutions; Lot sizing; Mechanical engineering; Welding; Data Mining; Decision Tree; ERW Weld Pipe; Production Plannin;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location
Deng Leng
Print_ISBN
978-1-4577-0535-9
Type
conf
DOI
10.1109/AIMSEC.2011.6010111
Filename
6010111
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