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Risk Analysis and Fairness Evaluation of Insurance Consumption Behavior Based on Big Data

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DOI: 10.23977/WTED2020.040


Mei Du, Yanliang Yu, Xu Chen

Corresponding Author

Xu Chen


Introducing cluster analysis into customer segmentation can effectively process a large amount of customer information. This paper analyzes various methods of cluster analysis and selects ant colony clustering algorithm for customer segmentation. Before the implementation of the algorithm, the method of principal component analysis is selected to preprocess the original data. Finally, the customer segmentation model of real estate enterprises based on clustering analysis is constructed. The feasibility and practicability of the real customer information inspection model of Baoyu Real Estate are verified. Based on the actual customer data obtained from the questionnaires of Baoyu Real Estate customers, the customer segmentation model constructed in this paper is adopted to cluster the collected customer information, and the clustering results are compared with the original customer data for analysis, and the company’s resource allocation strategy and customer management strategy are formulated based on the basis of the results.


Risk Analysis, Evaluation, Insurance, Consumption

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