Data mining in manufacturing: a review based on the kind of knowledge-Reference-Cited by-同舟云学术

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Data mining in manufacturing: a review based on the kind of knowledge

Published:2008-07-15 Issue:5 Volume:20 Page:501-521
ISSN:0956-5515
Container-title:Journal of Intelligent Manufacturing
language:en
Short-container-title:J Intell Manuf

Author:

Choudhary A. K.,Harding J. A.,Tiwari M. K.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Software

Link

http://link.springer.com/content/pdf/10.1007/s10845-008-0145-x.pdf

Reference152 articles.

1. Agard B., Kusiak A. (2004a) Data mining for subassembly selection. Journal of Manufacturing Science and Engineering 126: 627–631. doi: 10.1115/1.1763182

2. Agard, B., & Kusiak, A. (2004b). Data-mining based methodology for the design of product families. International Journal of Production Research, 42, 15, 2955–2969.

3. Agrawal, R., Imielinski, T., & Swami, A. N. (1993). Mining association rules between sets of items in large databases. In Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data (pp. 207–216). Washington, D.C., May 1993.

4. Backus, P., Janakiram, M., Mowzoon, S., Runger, G. C., & Bhargava, A. (2006). Factory cycle time prediction with a data-mining approach. IEEE Transactions on Semiconductor Manufacturing, 19(2). doi: 10.1109/TSM.2006.873400 .

5. Batanov D., Nagarur N., Nitikhumkasem P. (1993) Expert—MM: A knowledge based system for maintenance management. Artificial Intelligence in Engineering 8: 283–291. doi: 10.1016/0954-1810(93)90012-5

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