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Proceedings Paper

Research on synthetic decision support technology based on data farming
Author(s): Haobin Shi; Zhujun Yu; Wenbin Li
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Paper Abstract

In order to solve the problems existed in current decision support system, such as closed, model-oriented, forbidding uncertainty and risk, oriented to analysis of few determined scenario, a novel synthetic decision support system(SDSS) based on data farming 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.

Paper Details

Date Published: 2 April 2010
PDF: 7 pages
Proc. SPIE 7651, International Conference on Space Information Technology 2009, 765119 (2 April 2010); doi: 10.1117/12.855245
Show Author Affiliations
Haobin Shi, Northwestern Polytechnical Univ. (China)
Zhujun Yu, Northwestern Polytechnical Univ. (China)
Wenbin Li, Northwestern Polytechnical Univ. (China)

Published in SPIE Proceedings Vol. 7651:
International Conference on Space Information Technology 2009
Xingrui Ma; Baohua Yang; Ming Li, Editor(s)

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