Data Mining in Obtaining Potential Car Consumers
Xiaofen Wang · Shuxue de shijian yu renshi · 2013
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.