The Overall Study of the Business Intelligence Explorer

Zhaohui Yu, Xiang Ji

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.

Full Text: PDF DOI: 10.5539/ass.v6n9p26

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.

Asian Social Science   ISSN 1911-2017 (Print)   ISSN 1911-2025 (Online)

Copyright © Canadian Center of Science and Education 

To make sure that you can receive messages from us, please add the 'ccsenet.org' domain to your e-mail 'safe list'. If you do not receive e-mail in your 'inbox', check your 'bulk mail' or 'junk mail' folders.