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Published Articles >> Table of Contents >> Abstract
First International Multi-Symposiums on Computer and Computational Sciences - Volume 2 (IMSCCS'06)
pp. 780-786
Knowledge and Process Based Decision Support in Business Intelligence System
Luan Ou, South China University of Technology, China
Hong Peng, South China University of Technology, China
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IMSCCS.2006.236
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| Abstract |
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As a kind of data-driven decision support systems,
business intelligence tools focus too much on data and
have low efficiency of decision making. Companies in
today are more process-oriented than in the past and
process-driven decision support system is emerging to
help enterprises improve the speed and effectiveness of
business operations. In order to provide the business
intelligence system with the ability of process-driven
decision making, we introduce the concept of business
process management to the current business intelligence
system. We add the process model component in our
business intelligence model base. With the
implementation of case-based reasoning and rule-based
reasoning technology, the process models can be built
and managed efficiently. In this paper we also provide a
strategy for knowledge management in business
intelligence system.
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 Additional Information
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Citation:
Luan Ou, Hong Peng,
"Knowledge and Process Based Decision Support in Business Intelligence System,"
imsccs,
pp. 780-786,
First International Multi-Symposiums on Computer and Computational Sciences - Volume 2 (IMSCCS'06),
2006
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