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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 113
Article Submitted : 17894
Article Published : 7703
Total Authors : 20391
Total Reviewer : 744
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| Paper Title: | Detection of Suspicious Account using Data Mining Techniques |
| Authors Name: | Amruta Hanumant Raut , S V. Athawale |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_180092
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| Published Paper Id: | IJRTI1804040 |
| Published In: | Volume 3 Issue 4, April-2018 |
| DOI: | |
| Abstract: | Money Laundering is criminal activity to disguise black money as white money. Money Laundering is process of converting illegal asset or funds into legitimate or legal asset or funds. Data mining techniques are very efficient techniques to determine suspicious accounts in Money Laundering .Data mining is task or procedure of analyzing large amount of data stored in Database and finding correlation or patterns among that amount of data. Different anti money laundering techniques are used for finding suspicious transaction of money and this data is send to Financial Intelligence Unit (FIU). Financial Intelligence Unit verifies if transaction is actually suspicious or not. Hash based Association mining is very useful technique for this purpose. An efficient anti Money Laundering technique called Hash Based Association can be able to identify the traversal path of the Laundered Money .Most international financial institutions have been implementing traditional investigative techniques which are more time consuming. Efficiency can be increase by generating frequent transactional datasets or patterns and this will then be used in the graph theoretic approach to identify the traversal path of suspicious transactions. We will improve the performance of current solution in terms of running time and provide support in finding agent and integrator in transaction path successfully using data mining approach. |
| Keywords: | Money Laundering, Hash Based Association Mining, Frequent- 2 Item Set, Data Mining, Traversal Path |
| Cite Article: | "Detection of Suspicious Account using Data Mining Techniques ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.3, Issue 4, page no.212 - 218, April-2018, Available :http://www.ijrti.org/papers/IJRTI1804040.pdf |
| Downloads: | 000205051 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI1804040
Registration ID:180092
Published In: Volume 3 Issue 4, April-2018
DOI (Digital Object Identifier):
Page No: 212 - 218 Country: Pune, Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI1804040 Published Paper PDF: https://www.ijrti.org/papers/IJRTI1804040 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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