Research on data mining and agricultural products brand marketing system

Pingping Qiao
Henan Polytechnic Institute， Nanyang, Henan 473000，China

DOI:https://doi.org/10.5912/jcb1470

Abstract:

In order to improve the effect of agricultural product brand marketing, based on clustering algorithm and data mining algorithm, this paper constructs a data mining and agricultural product brand marketing system based on clustering algorithm. Moreover, this paper uses the system model to formulate agricultural product brand marketing strategies and push marketing messages to improve the efficiency of agricultural product brand marketing in the digital age. In addition, this paper combines the actual needs of agricultural product brand marketing to construct the basic framework structure of the system, determines the functional modules of the system model according to the demand analysis, and analyzes the model realization process. Finally, this paper combines the case to verify the performance of the system constructed in this paper, and uses mathematical statistics to visually display the results of the case analysis. The case study shows that the system proposed in this paper has a certain effect. Simultaneously, taking the typical case of agricultural product brand as a topic is of great significance to the national research on the development of specialty agricultural product brands.