With the rapid development of e-business, more and more customer data accumulate daily in Websitespsila background databases. Data mining is thus used to analyze customerspsila buying behaviors and consuming habits to better understand their needs. The authors introduce the data source of data mining in E-business Websites, and then present an architecture that consists of three main components: business data definition, customer interaction, data analysis, and three data transfer processes: data preparation, data warehouse construction and results deployment. Finally several main methods of data mining in e-business Websites, including characterization and discrimination, association analysis, cluster analysis, are clarified.
['Luo Hanyang', 'Gao Jin-ling', 'Ji Wenli']
Research on Data Mining in E-business Websites