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  • 标题:The Overall Study of the Business Intelligence Explorer
  • 本地全文:下载
  • 作者:Zhaohui Yu ; Xiang Ji
  • 期刊名称:Asian Social Science
  • 印刷版ISSN:1911-2017
  • 电子版ISSN:1911-2025
  • 出版年度:2010
  • 卷号:6
  • 期号:9
  • 页码:26
  • DOI:10.5539/ass.v6n9p26
  • 出版社:Canadian Center of Science and Education
  • 摘要:Business Intelligence Explorer uses a new browsing method and the framework incorporates visualization, web mining and clustering techniques to support effective exploration of knowledge. To examine whether the business intelligence explorer did optimize the search result or not, this paper chose three research objects, Google, Quintura, Clusty, and conducted an analysis of variance in terms of efficiency, effectiveness and usability. The result shows that visualization and clustering techniques offers practical implications for search engine users.
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