Research on Information Customer Service Data Mining and User Group Classification Based on Cluster Analysis

Cluster analysis is an important content of information customer service data mining technology. Cluster analysis will promote the economic development of information customer service data mining, and have an important impact on the division of user groups. Nowadays, the research on information customer service data mining technology of cluster analysis focuses on the early pilot theory stage, discussing cluster analysis, information customer service data mining and other aspects, and lacks the research content of the integration of cluster analysis and user group division application. In order to further study the clustering analysis of information customer service data mining technology on the actual impact of user groups, the study through the cluster analysis method, the analysis of regression analysis of regression analysis, and depth study of various compound additives add how to affect the weightlessness characteristics, and all kinds of information on the degree of data mining. Then, based on the analysis of information customer service data mining, confirmation and latent value calculation of user group classification, standardization, weighted evaluation and user group classification load and sensitivity analysis, the final conclusion is put forward based on the regression results. The research results show that the information customer service data mining system has little negative utility value for the user group division, which is a power generation system worth promoting.