A Practical Hybrid Approach for Detecting Suspicious Accounts in Money Laundering using Data Mining Techniques |
Author(s): |
| Puneethashree H S , PES College of Engineering Mandya; Dr. Veena M. N, PES College of Engineering Mandya |
Keywords: |
| Money Laundering, Data Mining, Detection of Suspicious Accounts |
Abstract |
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Money laundering is very common problem even in well developed countries that has been a challenge to handle. This paper presents the predictions of money laundering act of account holders in bank by using a hybrid approach on data mining techniques to predict the money laundered accounts through suspicious transactions based on results of account transactions. |
Other Details |
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Paper ID: IJSRDV6I40990 Published in: Volume : 6, Issue : 4 Publication Date: 01/07/2018 Page(s): 1291-1292 |
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