Data Mining Technology In The Retail Sector In Applied Research

With the fast development of information technology, the retail industry accumulated a lot of historical datum. But lacking of powerful analytic tools makes our important decisions depending on the intuitions of policy-makes, rather than the fruitful datum in the database. So setting up policy supporting system and improving the ability of effective data-analysis of the policy-makers became very important. The technology of Data Mining developed in recent years is a new kind of technology of data organizing and analysis. How to put the technology of Data Mining into the field of retail industry is the key of this thesis.Firstly, make a simple introduction about Data Mining, and explore the concept and the frequent methods of the technology of Data Mining, the classification of Data Mining, the process of Data Mining and the tools of it. Secondly, analyze the characteristics of retail industry's field and present conditions of the retail industry's factory. Thirdly, emphasize application of Data Mining project in the retail industry, analyze the applicative style and steps of Data Mining technology in retail industry and the problems which we should pay attention to of the implementation of Data Mining project in retail industry. Finally, relating the author's field work introduce a model (Association Analysis) of Data Mining which used particularly in the retail industry.