Improvement Study Of Banking Large And Suspicious Transaction Report Based On Fuzzy Clustering Method

As money laundering has close relationship with other serious criminalactivities(such as drug trafficking, smuggling, terrorist attacks, etc.), anti-moneylaundering has been paid increasingly attention by the international community. Moneylaundering activity posts serious threat to the financial stability, government’s reputationand social harmony, it is necessary to dig the problem deeply. Money-laundering criminalsconduct the crime rationally according to the principle of achieving maximum profit,however money laundering itself is not rational economic activity in the traditional sense,which decides that the behaviors of money laundering criminals would be different fromnormal economic activity and behavior. This is basis that we can identify it. In recent yearsdata mining technology has gained significant development in the aspect of research andapplication, Moreover, applications are increasingly widespread because of its excellentability in solving problem.This article will apply the data mining technology into anti-money launderingactivity by analyzing practical circumstance related anti-money laundering content. It willalso offer a kind of recognition method of money-laundering based on data mining。Firstly,the paper will analyze the concept and current situation of money laundering, which wouldlead to the necessity of anti-money laundering work, and then it will illustrate the currentsituation of research, make a conclusion and offer theoretical foundation about research bycombining with the contents of this study. First of all,the core part of the paper digs theresearch deeply aiming to the comparatively popular money-laundering problem, moneylaundering is a kind of activity that makes actors and the relative actors legally access totransferred financial property. First of all imminent use of fuzzy clustering analysis basedon data mining and outlier detection algorithm is introduced, then the current bankinglarge and suspicious transaction reporting status quo analysis, to improve the efficiency ofthe screening report.Then commercial banking system based on the accounts of moneylaundering on the recognition of special study.Secondly, this article will conduct amonographic study based on identifying commercial bank accounts for money laundering. It uses the engineering science data mining technology to identify the pattern recognitionof suspicious money laundering When choosing the pattern classification method, thispaper develops a new style to choose the method of fuzzy clustering analysis and providethe corresponding algorithm description and program about data mining in the appendixsection, it also applies the real transaction data and simulated transaction data to verifyidentification method proposed by this paper. Finally, the paper gives a relatively objectiveevaluation pointing out some outcomes and deficiencies of research,and gives suggestionson future research direction。...