Clue mining based on the online gambling intelligent robot customer service platform

In order to improve the efficiency of online gambling case detection, this paper uses the decision tree algorithm as the basis to use the data features of the online gambling intelligent robot customer service platform to improve the algorithm. The system uses whether the player uses to access the accused website and whether the player has a gambling history as the trigger condition. The user management and data analysis layer are common interfaces for the interaction between users and the system, and the user's authority can be determined through the division of user authority management, and the relevant early warning information can be analyzed and decided through the interactive interface. The result of the suspect calculated by the decision tree is output to the result evaluation sub-module, and various scenarios can be set through the threshold in the module. After constructing the system model, the model is tested and researched. From the test results, it can be seen that the system constructed in this paper meets the needs of online gambling case investigation.