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A Research On E-Commerce Related Technologies

Posted on:2006-04-23Degree:MasterType:Thesis
Country:ChinaCandidate:Y J SunFull Text:PDF
GTID:2168360152971466Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
Along with the rapid development in database and technology technologies, plentiful data we got from it has become data tomb because it can't be understood by us. As the resolution of this problem, data mining becomes the focus of the IT world. As the important part of data mining, association-rule mining attracts people heavily because it can be used to find interesting relations from lots of data. At the same time,supply chain can help companies to disposing their resources better. These technologies are used widely in E-commerce.First, we introduce the conception of artificial immune system (AIS) in this article. Then we modify the association-rule mining algorithm and supply chain solution algorithm by the immune clonal algorithm in artificial immune system. The experiments show that if we use the algorithms provided in this article, we get better execution efficiency and faster convergence velocity than traditional algorithms .And we can get better supply chain solution by the methods provided in this article.Then, we analyzed the advantages and shortcomings of traditional association-rule mining algorithms and supply chain solution algorithm.Based on these results and immune clone algorithm, we provide some methods as follows:1. Based on the fact that immune clonal algorithm has better ability both at overall and partial searching, we introduce the multi-division association-rule mining algorithm based on the immune clone algorithm (AMBC). The experiments show that it has better performance than traditional algorithms.2. We introduce the supply chain solution algorithm based on the immune clonal algorithm (SCBC). We find it has good performance both at convergence velocity and searching ability though the experiments.At last, we provide two comparisons, one is between AMBC and traditional algorithms (Apriori algorithm, AMBE&AMBC), the other is between SCBC and SCBE. We draw such a conclusion: it is a novel significant way that we combine the immune clonal algorithm with association-rule mining and supply chain solution.
Keywords/Search Tags:artificial immune system, immune clonal algorithm, data mining, association-rule mining, supply chain management
PDF Full Text Request
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