An Data Ming Method Based on AHP and Apriori

Hua Lin Ma

doi:10.4028/www.scientific.net/AMM.198-199.431

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 198-199An Data Ming Method Based on AHP and Apriori

An Data Ming Method Based on AHP and Apriori

Abstract:

As the current personalized recommendation methods of Internet bookstore are limited too much in function, this paper proposes a kind of Internet bookstore data mining method based on “Strategic”, which can provide personalized recommendations that they really want. It helps us to get the weight attribute of type of book by using AHP, the weight attributes spoken on behalf of its owner, and we add it in association rules. The experimental results indicate that the Internet bookstore recommendation method is feasible.

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Periodical:

Applied Mechanics and Materials (Volumes 198-199)

Pages:

431-434

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.198-199.431

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Online since:

September 2012

Authors:

Hua Lin Ma

Keywords:

Association Rule, Data Mining (DM), E-Commerce (EC), Internet Bookstore, Personalized Service

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References

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