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
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;
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6495-1
DOI :
10.1109/BMEI.2010.5639833