Patent attributes
A business data processing method includes: step S1: extracting domestic business sample data; step S2: selecting a sample data set S by training a model; step S3: extracting overseas business sample data; step S4: merging the data set S and a data set T to obtain a data set A; step S5: setting an initial sample weight; step S6: setting a variable for a quantity of iterations; step S7: training the model based on a current weight to obtain a model At; step S8: calculating a loss et of the model At in the data set T; step S9: caching the model At and the loss et; step S10: updating a sample weight; step S11: updating the quantity of iterations t=t+1; step S12: determining whether a termination condition is met; and step S13: when the termination condition is met, determining a final model.
