Research on Renewal Probability Problem of Applying Clustering Method Under Big Data

Abstract

Under the wave of the big data era, we need to analyze some data sets that cannot be captured and processed with conventional software tools within a certain time frame with new processing modes, so as to obtain stronger decision-making power and insight. In view of this, this paper uses a big data pattern matching algorithm to establish a SOM network (Self-Organizing feature Map) to calculate the probability of auto insurance renewal under the background of complex data. On the one hand, this research will increase the insurance renewal rate. In addition, it can provide advice and reference for the cultivation of auto insurance customer loyalty under the epidemic situation, and has a certain reference role for the development of my country’s insurance digitalization.