Evaluating And Forecasting Used Cars Based On Data Mining

With the development of the automotive industry,used car market has gradually entered the people's attention.Due to the used car business profit is higher,more and more car manufacturers began to get involved in used car business.At present the price is not reasonable phenomenon on the market,which leads to the low quality of consumers appeared in the blind Car Buying.Unreasonable price problem and incomplete customer service will not only cause economic losses to consumers,but also not conducive to the long-term development of the industry.Therefore,on the one hand,we need to formulate rational and effective system,on the other hand we need to assess used car to standardize the used car market properly,to develop used car market steadily.In this paper,the neural network and decision tree algorithm is used to analyze the used car market data.Through the comparison between different methods' accuracy,assessing the value of used car is determined by chi square automatic cross test method.According to the indexes of used car,using CHAID algorithm to make model,predicting the acceptability of used car,continue to promote the development of the used car trading and market.