FP-GROWTH APRIORI ALGORITHMS APPLICATION IN THE DESIGN FOR INDIVIDUALIZED VIRTUAL SHOP ON THE INTERNET
This paper firstly points out there are two deficiencies of traditional apriori algorithm; Secondly it introduces an improved aprior algorithm so called FP-growth apriori algorithm that will help resolve two neck-bottle problems of traditional apriori algorithm and has more efficiency than original one.Lastly, based on huge consumers data from a famous business website of book, this paper applies FP-growth apriori algorithm to design individualized virtual shop on the Internet The individualized virtual shop can not only help to realize one-to-one marketing strategy, increase purchasing interest and loyalty of the consumer to virtual shop, but also make virtual shop gains more profit and more competitiveness.Designing an individualized virtual shop on the Internet is an interesting and tough international topic and applying FP-growth apriori algorithm to design individualized virtual shop on the Internet is novel ideal and method.As a result, the research result in this paper is just for reference.
Internet Apriori Individualize Virtual shop FP-growth
LI-JUAN HUANG
Jiangxi University of Finance and Economics, Nanchang University, Nanchang 330013, China
国际会议
2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)
香港
英文
3800-3804
2007-08-19(万方平台首次上网日期,不代表论文的发表时间)