General Structural Model and Application of Intelligent Decision Support System Based on Knowledge Discovery

被引：0
|
作者：
Zhou, Faguo G. [1 ]
Zhang, Fan [1 ]
Yang, Bingru R. [2 ]
机构：
[1] China Univ Min & Technol Beijing, Sch Mech Elect & Informat Engn, Beijing 100083, Peoples R China
[2] Univ Sci & Technol Beijing, Sch Informat Engn, Beijing 100083, Peoples R China
来源：
APPLIED COMPUTING, COMPUTER SCIENCE, AND ADVANCED COMMUNICATION, PROCEEDINGS | 2009年 / 34卷
关键词：
Intelligent Decision Support System; Knowledge Discovery; Data Mining;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper mainly discusses the general structure model of IDSSKD (Intelligent Decision Support System Based on Knowledge Discovery) and describes the function of each of its sub-systems. IDSSKD has perfected and extended the function of conventional IDSS, and revised the running mechanism of conventional IDSS. Knowledge acquiring of domain experts, reasoning mechanism, KDD* mining and Web mining are efficiently fused into IDSS. Consequently, IDSSKD is a new type of intelligent decision support system that covers two networks and six bases. Furthermore, it is synthetically integrated, multi-tiered, and model-driven. It is promising that IDSSKD would play an important role in promoting the mainstream development of IDSS and become a new generation of intelligent decision support model.
引用
收藏
页码：218 / +
页数：2
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