Research On Visual Analysis Method Of Anti-money Laundering Based On Knowledge Map And Big Data Framework

In the past,money laundering is only a professional term in the financial field,which is used to describe the legalization of ill gotten gains by various illegal means.The amount of illegal money laundering in the world is as high as US $10000 to US $3 trillion every year,which has a great negative impact on the normal and stable social and economic order.However,the detection rate of money laundering in the world is only the tip of the iceberg.It can not be denied that money laundering is the most illegal means,which has a very negative impact on community economy and even national security and stability.For this reason,this paper aims at the illegal transactions involving underground banks,tax evasion and illegal fund-raising in a large number of transfer transactions,establishes a set of intelligent anti money laundering system based on big data,knowledge mapping and machine learning,which can automatically and quickly detect suspicious transactions.It involves many aspects of data processing,and uses the advanced technology of knowledge mapping and graph database,so that it can be transformed into graph data that can be quickly retrieved.The original data is divided into suspicious communities by community discovery algorithm.The suspicious data can be generated into a variety of community graph data for foreground display in real time,and illegal transactions can be screened out through foreground operation.Greatly improve the efficiency and detection rate of anti money laundering business.The core of this work is big data analysis,data processing with knowledge mapping and community display.It migrates related algorithms in other application fields,optimizes them,and adds additional processing steps and relatively intelligent parameters to reduce the demand for human intervention.The innovation is to try to apply knowledge mapping to the field of anti money laundering,and apply it to community discovery algorithm,so as to improve the efficiency and accuracy of anti money laundering business.