DocumentCode
3148725
Title
The comparative study of the Business Intelligence Explorer and the traditional explorer
Author
Yu, Zhaohui ; Ji, Xiang
Author_Institution
Coll. of Int. Bus., Shanghai Int. Studies Univ., Shanghai, China
Volume
7
fYear
2010
fDate
16-18 Oct. 2010
Firstpage
2985
Lastpage
2989
Abstract
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.
Keywords
competitive intelligence; knowledge management; search engines; Clusty; Google; Quintura; business intelligence explorer; clustering techniques; information overload; knowledge exploration; search engine; traditional explorer; visualization; web mining; Accuracy; Analysis of variance; Business; Communities; Knowledge engineering; Search engines; Usability; Business Intelligence; Business Intelligence Explorer; Information Overload;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location
Yantai
Print_ISBN
978-1-4244-6495-1
Type
conf
DOI
10.1109/BMEI.2010.5639833
Filename
5639833
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