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A Survey of Methodaology of Fraud Detection Using Data Mining

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A Survey of Methodaology of Fraud Detection Using Data Mining

K Leena Kurien | Dr. Ajeet Chikkamannur

K Leena Kurien | Dr. Ajeet Chikkamannur "A Survey of Methodaology of Fraud Detection Using Data Mining" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-6 , October 2017, URL: http://www.ijtsrd.com/papers/ijtsrd2482.pdf

While many financiers use the Internet and social media to help them with investment decisions, these online tools can provide many benefits for investors and at the same time, same tools can make smart objectives for lawbreakers. These offenders are quick to adapt to new technologies – and Social media is no exception. Social media, such as Facebook, YouTube, Twitter, and LinkedIn, have become key tools for investors worldwide. Whether they are seeking study on particular stocks, background information on a broker-dealer or investment consultant, guidance on an overall investment strategy, up to date news or to simply want to discuss the markets with others, investors turn to social media. Social media also offers a number of features that criminals may find attractive. Fraudsters can use social media in their efforts to appear legitimate, to hide behind anonymity, and to reach many people at low cost.

Fraud, Data Mining, Fraud Detection, Financial Fraud, Neural Network, Decision Tree.


Volume-1 | Issue-6 , October 2017

2456-6470

IJTSRD2482