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Applying data mining to manufacturing: the nature and implications

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Abstract

Recent advances in computers and manufacturing techniques have made it easy to collect and store all kinds of data in manufacturing enterprises. The problem of how to enable engineers and managers to understand large amount of data remains. Traditional data analysis methods are no longer the best alternative to be used. Data Mining (DM) approaches have created new intelligent tools for extracting useful information and knowledge automatically. All these will have a profound impact on current practices in manufacturing. In this paper the nature and implications of DM techniques in manufacturing and their implementations on product design and manufacturing are discussed.

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Correspondence to Kesheng Wang.

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Wang, K. Applying data mining to manufacturing: the nature and implications. J Intell Manuf 18, 487–495 (2007). https://doi.org/10.1007/s10845-007-0053-5

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  • DOI: https://doi.org/10.1007/s10845-007-0053-5

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