Knowledge and process based decision support in business intelligence system

被引:8
作者
Ou, Luan [1 ]
Peng, Hong [1 ]
机构
[1] S China Univ Technol, Sch Comp Sci & Engn, Guangzhou 510641, Guangdong, Peoples R China
来源
FIRST INTERNATIONAL MULTI-SYMPOSIUMS ON COMPUTER AND COMPUTATIONAL SCIENCES (IMSCCS 2006), PROCEEDINGS, VOL 2 | 2006年
关键词
D O I
10.1109/IMSCCS.2006.236
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:780 / +
页数:3
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