DocumentCode :
3144046
Title :
Research of Knowledge-based Automatic Model Selection Strategy
Author :
Feng, Yanghe ; Dai, Chaofan
Author_Institution :
Technol. Key Lab. of Sci. & Technol. for Nat. Defense Changsha, Nat. Univ. of Defense Technol., Changsha, China
fYear :
2009
fDate :
1-3 June 2009
Firstpage :
102
Lastpage :
106
Abstract :
It is necessary for the Intelligent Decision Support System to automatic select models, but there is less available strategy. The knowledge-based automatic model selection strategy is proposed in the paper. The model is represented by knowledge frame and the reasoning trees are established according with the fact base and knowledge base, and then the model selection scheme is provided by integrating the experience and expert knowledge. The experiment shows that the strategy has high hit rate.
Keywords :
decision support systems; knowledge based systems; Intelligent Decision Support System; knowledge-based automatic model selection strategy; reasoning tree; Appropriate technology; Artificial intelligence; Classification tree analysis; Decision support systems; Genetic algorithms; History; Information science; Intelligent systems; Laboratories; Predictive models; Bayesian reasoning; DSS; automatic model selection; framework;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Science, 2009. ICIS 2009. Eighth IEEE/ACIS International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3641-5
Type :
conf
DOI :
10.1109/ICIS.2009.48
Filename :
5223111
Link To Document :
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