An Multi-Variant Relational Model for Money Laundering Identification using Time Series Data Set

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Provided by: International Journal of Engineering & Science (IJES)
Topic: Data Management
Format: PDF
Money laundering an unfair money transaction activity which threats the finance industries in higher rate. The illegal commercial peoples and terrorist, transfers huge amount into a single or many accounts and it follows a big chain of accounts to reach the destination to which it has to be sent. Generally the financial banks enforce many restrictions to transfer amounts between accounts where they are done between internal or external accounts of the country. Identifying money laundering is a challenging task where the origin of transaction could not be identified easily when it follows a big chain or transferred as number of small amounts.
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