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Trade Surplus Analysis Using Self-Organizing Data Mining Based on GMDH Principle

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4 Author(s)
Nan Li ; Coll. of Transp. Manage., Dalian Maritime Univ., Dalian, China ; Yan Chen ; Shuyong Liu ; Xiangwei Mu

A approach is suggested for designing and developing a trade surplus influence factors correlation analysis application where GMDH principle is used for generating it more easily. This approach uses self-organizing data mining importing the concept of evolution based on principle of GMDH and enables the knowledge extraction process on a highly automated level and generates optimal complex model in an objective way. In correlation analysis of trade surplus in imports and exports, considering domestic economic factors modelpsilas structure is created automatically using self-organizing data mining technology and the internal correlations between these factors are found.

Published in:

Computer Science and Information Engineering, 2009 WRI World Congress on  (Volume:4 )

Date of Conference:

March 31 2009-April 2 2009

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