Based on the communication data and business data of operator’s network

this paper explores a new data mining method of "multi-data aggregation and multi-technology integration". In terms of research means

firstly

XGBoost integrated learning algorithm is used to accurately classify numbers and effectively distinguish three categories of numbers: harassment fraud numbers

takeout express numbers and normal numbers. And it builds the social characteristics between numbers to further improve the accuracy of harassment and fraud numbers based on social relations. After verification

this paper further improves the accuracy of fraud and harassment numbers to 80% through the xgboost integrated learning algorithm and the fusion model of social relations

which can be widely used in the field of new bad information governance

especially to help combat the new illegal and criminal governance of telecom networks and maintain social and public security.