Analysis Of Consumers' Behavior In Purchasing Based On Data Mining

With the rapidly increasing living standards of the Hohhot residents, it is reported that private cars consumption has been and will be the hot spot within the following years in the near future. It will play a vital part in improving the producing and the living conditions of the residents, motivating the economic growth, attracting employment and so on. In the meantime, the automobile distributors are faced with more challenges, which result from the facts that the living conditions are becoming higher and higher, the private cars consumption market is from good to better and the competitive environment of market fiercer and fiercer. One of the responses to the challenges is that enterprises should attach more importance to meeting the requirements of both market and clients and they need to get more adequate information of the changeable market and then make more accurate judgment about market. Fortunately, automobile industry has accumulated a large account of data such as industry information, economic and environmental information and clients'information, which serves as an important reference for the automobile distribution enterprises. Under these circumstances, some research of automobile distribution enterprises and data mining of various consumers must be done right now to be line with the competition and changes.Data mining has already been applied to some degree in the field of banking, telecom, insurance and has laid a solid foundation. This thesis, for one thing, applies data mining technique to the studies of the private cars consumers'information and builds up the specific process of automobile consumer satisfaction assessment indicator system by making use of comprehensively the techniques, investigation of consumers and the background and the foundation alike of the automobile distribution industry; for another, it builds up the analysis system model of private cars consumers information. For still another, it determines the theme of data mining through specific studies of enterprises and designs a questionnaire survey to collect data; on the basis of the specific application command, it develops such practice worthy study methods and the relevant consequences as subdivision of the potential purchasers, the clustering analysis about the purchasing types, about the affordable abilities, about to what extent purchasers are satisfied with their purchase and about how consuming factors relate to each other.