A smart case prevention system based on big data

Abstract

The invention discloses an intelligent case prevention system based on big data. The system includes a management platform, a spark big data platform, an analysis engine, a data preprocessing engine, an indicator engine, a training engine and a decision engine. The present invention splits the rules into fine-grained and indexed rules to further improve the accuracy of the rules; the stream processing technology adopted by the index engine can quickly extract and calculate the feature single point of the original data, and obtain representative data from the massive original data. characteristic features to fully extract the information in the data; model training uses a variety of optimized machine learning models and integrated learning frameworks, which can overcome the defects of overfitting and instability of a single model; The operators run in parallel and complement each other, which can judge the matching degree of business data, rules and models in real time, and improve the risk identification ability; based on the knowledge map, it can quickly locate suspicious risk data through correlation analysis and model analysis.

Description

technical field [0001] The invention belongs to the field of crime prevention, and in particular relates to an intelligent crime prevention system based on big data. Background technique [0002] In recent years, my country's financial operational risk cases have shown a trend of frequent and high incidence. Many banks have successively exposed operational risk cases involving huge amounts of money. Cases related to bank business operations have occurred frequently, and the cases in terms of operational risk have become increasingly complex. The method is secretive. Operational risk cases occur frequently, causing huge economic losses and social impact, and bringing new challenges to the stable operation of the banking industry. With the continuous deepening of the reform and development of the financial industry and the continuous upgrading of management methods, especially the implementation of the national big data strategy, higher requirements have been placed on banks' ...

AI Technical Summary

Problems solved by technology

Although these systems have more or less prevented and controlled operational risks, as the cases become more and more complex, the rules are also more and more complicated, and the prevention and control of case risks is not enough.

The case rules are complex, resulting in insufficient fine-grained rules, and business personnel cannot participate in the visual configuration of the rules. They can only configure the rules through SQL written by the technical personnel, and cannot detect the problems and effects of the rules in time; the case rules are complex, and the rules run repeatedly, resulting in Time-consuming, low performance, the system cannot support; artificial experience has reached the limit, the existing rules can no longer meet the current case risk prevention and control, and there is an urgent need to introduce artificial intelligence to improve the rules and find more effective rules to reveal "hidden information" and "Common Information"

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