英文摘要 |
In this study, we use Relief-F algorithm to filter the main attributes from the big dataof consumers purchase automobile, and then use this key attributes to make intoquestionnaires. Then analysis the results by stepwise regression method, we got the reallythe 9 attributes of the consumers who cared in automobile purchase. Finally, we useANOVA method to determine the basic characteristics of the customer and the purchase ofthe relationship between the important attributes, we can analysis the segment of theautomobile market. Automobile marketing segments have a clear definition, eachautomobile-manufacturers can focus all resources to develop their marketing, to beatpotential competitors. |