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《Mathematics in Practice and Theory》 2013-17
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Data Mining in Obtaining Potential Car Consumers

WANG Xiao-feng;MIAO Li-feng;LI Yan;Higher Vocationad College Hebei Radio and TV University;School of Sciences,Hebei University of Science and Technology;  
At present,the competition of auto dealers will be more and more fierce as the ratio of purchasing a private car rises rapidly.How to achieving potential consumers as much as possible becomes particularly important.Thus,based on the database that was established by National Bureau of Statistics of China,a classification model was constructed by Support Vector Machines(SVM),which can provide a scientific basis for forecasting the possibility that a new consumer will buy a car in the coming three years by classifying potential consumers and non-potential consumers.Meanwhile,a decision tree model was built for analysis and comparison with SVM.
【Fund】: 河北省高等学校自然科学自筹基金(Z2011139);; 河北省教育厅优秀青年基金(Y2012020);; 石家庄市科学技术研究与发展指导计划(125790375)
【CateGory Index】: TP311.13
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