Application Research on Marketing Data Analysis Using Data Mining Technology

This paper takes modern marketing and data mining as basic theory basis, applying association mining algorithm to marketing data analysis with specific characteristics in industry and establishes data mining-based marketing analysis method model. This method model comprehensively discovers neural network and data mining technology to perform law discovery in historical data warehouse. The basic association rules analysis is expanded to multi-dimension and FP-Growth algorithm is improved on the basis of association rule mining principle. Furthermore, it is applied to analyze hierarchical relationship of price change between various factors inside the given market environment. Finally, power market marketing case is taken as test object and the scheme effectiveness of this paper is verified.