Research on Synthetic Decision Support Technology Based on Data Farming
In order to solve the problems existed in current decision support system, such as closed, modeloriented, forbidding uncertainty and risk, oriented to analysis of few determined scenario, a novel synthetic decision support system(SDSS) based on data fanning is proposed and established in this paper. Taking data warehouse as platform, the SDSS searches unknown information and unexpected knowledge by use of data farming, while data mining is utilized to extract reliable, original and valuable knowledge from large quantities of data. The organic combination of data farming, data mining and data warehouse opens up a new way for research on decision support system, and simulated experiments verify the validity of this technology.
data farming decision support data mining data warehouse
SHI Haobin YU Zhujun LI Wenbin
School of Computer, Northwestern Polytechnical University
国际会议
International Conference on Space Information Technology 2009(2009年第三届空间信息技术国际会议)
北京
英文
1-7
2009-11-26（万方平台首次上网日期，不代表论文的发表时间）