The Application of Data Mining in the Food Manufacturing Industry

Chun Mei Zong; Hong Bin Wang; Xue Juan Du

doi:10.4028/www.scientific.net/AMM.20-23.856

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 20-23The Application of Data Mining in the Food...

The Application of Data Mining in the Food Manufacturing Industry

Abstract:

The paper first displays the feature of food, then points out the significance of putting into practice the Customer Relationship Management and supply chain administration in selling management, thereby draws out data mining. Finally, the paper describes the application of data mining in food.

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Periodical:

Applied Mechanics and Materials (Volumes 20-23)

Pages:

856-860

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.20-23.856

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Online since:

January 2010

Authors:

Chun Mei Zong, Hong Bin Wang, Xue Juan Du

Keywords:

Customer Relationship, Data Mining (DM), Management DataBase Technology

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References

[1] P. K. Kannan , H.R. Rao. Introduction to the special issue: decision support issues in customer relationship management and interactive marketing for e -commerce . Decision Support Systems, 2001, 322, 32(2) , pp.83-84.

DOI: 10.1016/s0167-9236(01)00103-8

Google Scholar

[2] S.C. Hui and G. Jha. Data mining for customer service support . Information and Management, 2000, 381, 38(1) , pp.1-13.

Google Scholar

[3] Josep Domingo-Ferrer, Vicen Torra. Privacy in Data Mining. Data Mining and Knowledge Discovery, 2005, 11, (2) , pp.117-119.

DOI: 10.1007/s10618-005-0009-3

Google Scholar

[4] Y. Lindell , B. Pinkas. Privacy Preserving Data Mining. Journal of Cryptology, 2002, 15, 15 (3), pp.177-206.

DOI: 10.1007/s00145-001-0019-2

Google Scholar