文章基本信息

标题：The Overall Study of the Business Intelligence Explorer
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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.