The Application of Classification and Regression Trees Algorithm in the Production Data of Mounter

Lu Zhang; Yan Ling Shang

doi:10.4028/www.scientific.net/AMR.383-390.4312

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 383-390The Application of Classification and Regression...

The Application of Classification and Regression Trees Algorithm in the Production Data of Mounter

Abstract:

With the rapid development of database technology and the explosive data growth, we urgently need a new smart technology to help us translate data into useful knowledge and information; so data mining generate. In this paper, We use the classification and regression trees algorithm to mine the data supplied by a factory and acquire some knowledge which can promote the efficiency of the production and reduce the cost. It proved that this method can improve production and reduce the cost efficiency.

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Manufacturing Science and Technology, ICMST2011

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Periodical:

Advanced Materials Research (Volumes 383-390)

Pages:

4312-4317

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.383-390.4312

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Online since:

November 2011

Authors:

Lu Zhang, Yan Ling Shang

Keywords:

Classification Tree, Data Mining (DM), Decision Tree, Regression Trees

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References

[1] Jiawei Han and Micheline Kamber. Data Mining Concepts and Techniques. China Machine Press, 2006. 121-178.

Google Scholar

[2] Breiman, L., Friedman, J. H., Olshen, R. A., and Stone, P. J. Classification and Regression Trees. Belmont. Wadsworth International Group, 1978. 78-156.

Google Scholar

[3] Insightful Corporation. S-Plus 7 Programmer's guide. Seattle. Washington, (2005).

Google Scholar

[4] Brodley, C. E., and Utgoff, P.E. Multivariate decision trees. Machine Learning. 1988. 98-107.

Google Scholar