Research and Application in Supply Chain Management Based on Correlation Analyze of Association Rules Algorithm

Shou Ning Qu; Qin Wang; Kui Liu; De Jun Xu

doi:10.4028/www.scientific.net/MSF.532-533.1024

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HomeMaterials Science ForumMaterials Science Forum Vols. 532-533Research and Application in Supply Chain...

Research and Application in Supply Chain Management Based on Correlation Analyze of Association Rules Algorithm

Abstract:

In this paper, the association rule algorithm and its defects were analyzed. An improved algorithm was put forward for applying it to analysis the association of products fittings in SCM. The application of improved algorithm can mine which kinds of fittings or sets of items being matched to get a salable product or gain the higher profit. So it can not only instruct customer’s consumption but also can help the entrepreneur make a detailed and efficient internal plan.

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Periodical:

Materials Science Forum (Volumes 532-533)

Pages:

1024-1027

DOI:

https://doi.org/10.4028/www.scientific.net/MSF.532-533.1024

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Online since:

December 2006

Authors:

Shou Ning Qu, Qin Wang, Kui Liu, De Jun Xu

Keywords:

Apriori Algorithm, Association Rule, Data Mining (DM), SCM

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References

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