Data Mining Techniques In Market Research, Applied Research

With the coming of Market Economy and Information Age, the significance of making use of some new data processing techniques to improve the data processing methods in market research is apparent. In this paper, the application of Data Mining is the main focus. For this purpose, an introduction to Data Mining is given here first. Second, on the basis of analyzing data features and the necessity of market research, the general setting in which Data Mining is applied to market research is outlined, and the connection of Data Mining and market research is figured out. As a result, the procedure of applying Data Mining to market research is drawn. In the meantime, the algorithm of employing Data Mining techniques in Data Cleaning is presented. Further study modifies the mining algorithm of the association rules in accordance with the features of market research, and designs the mining algorithm of the multiple-level association rules by using frame. To solve the problem of imperfection of information system of market research, a mining algorithm of classified rules by applying rough set is given here. The clustering and other rules are also discussed in this paper. In addition, the research shows the leading application field of these various rules, as well as the information evaluation of these in market research. In the end, this paper studies the decision support of market research from the perspective of Data Mining, and puts forward an application model of the intelligence decision support system of market research by making use of Data Mining. On the basis of the preceding study, it makes the all-round study of the application of Data Mining to market research.