Research and Application of an Enhanced Data Mining Algorithm in Virtual Manufacturing Technology

Yu Jun Tong; Jun Zhou; Wen Ge Xie; Dan Jia

doi:10.4028/www.scientific.net/AMR.299-300.840

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 299-300Research and Application of an Enhanced Data...

Research and Application of an Enhanced Data Mining Algorithm in Virtual Manufacturing Technology

Abstract:

Association rules mining is an important branch of data mining. Apriori algorithm is a classical algorithm of mining association rules. Based on the original Apriori algorithm an improved Apriori algorithm is analyzed according to the multiple minimum supports and support difference constraint. An experiment has been conducted and the results showed that the new algorithm can not only mine out the association rules to meet the demands of multiple minimum supports, but also mine out the rare but potentially profitable items’ association rules.

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Periodical:

Advanced Materials Research (Volumes 299-300)

Pages:

840-843

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.299-300.840

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Online since:

July 2011

Authors:

Yu Jun Tong, Jun Zhou, Wen Ge Xie, Dan Jia

Keywords:

Apriori, Data Mining (DM), MMIS, SDC, Shopping Cart

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