Mining Risk Rules in Insurance Business Data Based on SPRINT Classification Algorithm

SPRINT classification algorithm is based on SPRINT classification algorithm to mine risk rules in insurance business data. Mining risk rules in insurance business data based on SPRINT classification algorithm can be used to classify insurance risks and calculate loss rate, which means that it can be used as a method to classify and evaluate insurance risks. Mining risk rules are also known as mining methods or technologies. They are mathematical formulas that help determine whether an event will occur, when it will occur, how much it will cost, and how likely it is. The insurance risk is divided into four categories: low, medium, high and very high by using SPRINT classification algorithm. The risk rules of insurance business data mining based on SPRINT classification algorithm are based on the following three assumptions: (1) insurance data mining is efficient; (2) The risks of various categories are relatively higher than those of other categories; (3) Use simple classification rules to identify the most risky risks.