数据挖掘技术在电商平台中的应用研究

Research on the Application of Data Mining Technology in E-commerce Platforms

数据挖掘作为一个多学科交叉领域,能够在海量的数据中找到有用的信息。为了提高电商平台的核心竞争力,可以将数据挖掘应用到电商平台中,对数据进行处理分析。在数据挖掘过程中,频繁项集的产生备受关注。文章以关联规则为研究对象,将Apriori算法应用于天猫平台的一家鞋类专营店中,为该电商平台提供关联营销建议,最终提高经营效益。

As a multidisciplinary interdisciplinary field,data mining can find useful information in massive amounts of data.In order to improve the core competitiveness of e-commerce platforms,data mining can be applied to e-commerce platforms to process and analyze data.In the process of data mining,the generation of frequent itemsets is of great concern.Taking association rules as the research object,the Apriori algorithm is applied to a shoe specialty store on the Tmall platform to provide association marketing suggestions for the e-commerce platform and ultimately improve business efficiency.