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A Data Mining Model of Complex System Based on Improved Cluster Analysis Model and Rough Set Theory

Yuanyuan Cai, Liangqun Qi, Chengdong Wang


This paper sets focus on the application of rough set theory and improved cluster analysis in data mining of complex system. Combining with cluster analysis method, this paper builds up the data mining model of complex system based on rough set theory. Taking the equipment manufacturing industry as example, this paper does an empirical research of data mining based on industry development rules, and reveals the developing key influence factors and rules of Chinese equipment manufacturing industry. At last, this paper not only gives the suggestions for improving the development of Chinese equipment manufacturing industry, such as strengthening the training of R and D ability, improving the management quality and the human resource quality, and taking good use of location, but also gives the conclusions.


rough set theory, improved cluster analysis, complex system, equipment manufacturing industry, empirical study.

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