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  • 标题:An Efficient Modeling and Dimensioning Approach of Internet Business Area based on OLAP
  • 本地全文:下载
  • 作者:Kil Hong Joo ; Nam Hun Park
  • 期刊名称:International Journal of Software Engineering and Its Applications
  • 印刷版ISSN:1738-9984
  • 出版年度:2015
  • 卷号:9
  • 期号:4
  • 页码:171-180
  • DOI:10.14257/ijseia.2015.9.4.18
  • 出版社:SERSC
  • 摘要:Domain registration organizations have long recognized the importance of their customers. For domain registration service providers to match the domain registration with registrants' propensity and company service requirements is still a challenging issue. This research seeks to suggest an analytical method that can identify in which market domain registration organizations should secure potential group of customers who could contribute to higher domain sales while supporting their decision making process by linking their own possessed domain registration information with external attribute data on in which business areas the registered domains are utilized online. Through experiments, several business areas were found to have consistent trends and changes with those in overall market internet business areas and internet business area changes as desired to find in this research.
  • 关键词:Data mining; OLAP; Data cube
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