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SMART MONEY LAUNDERING PREDICTION AND RISK IDENTIFICATIONSYSTEM

Abstract

Abstract: The expression '‘Money Laundering’' is an awful development to camouflage the black cash that changes over as the white cash. This crime represents an extreme danger to the money related organizations and furthermore to the country. There act three steps in Money Laundering Placement, Layering, and Integration. The headway of proficient component to recognize suspicious exchange is a basic issue on account of monetary exchange made in worldwide market. The framework we are creating focuses on how financial establishments can get better outcomes in hostile to tax evasion activities. The examination and recognition technique for illegal money-laundering accounts in Online Social Network OSNs exhibited that the proposed strategy accomplished high identification rates and exceptionally low false positive rates. To overwhelm this necessity wepropose an adequate approach to catch out if the transactions are legal or illegal by using proposed system.Keywords:- Money Laundering, Naïve Bayes, Risk Identification

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Computer Science ,Electronics, Electrical  Engineering Information Technology, Civil, Computer Science and Engineering , Mechanical, Mechanical-Sandwich Petroleum, Production Instrumentation & Control, Automobile ,Chemical, Electronics Instrumentation& Control, Electronics & Telecommunication  Submit paper at oaijse@gmail.com

Special issue on Coronavirus "India & COVID-19" coming soon 


Organized  National Conference on SUSTAINABLE SOLID WASTE MANAGEMENT (SSWM)

@AMITY SCHOOL OF ENGINEERING & TECHNOLOGY

Department of Civil Engineering, Amity University Haryana,




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