A Survey of Methodaology of Fraud Detection Using Data Mining

Dr. Ajeet Chikkamannur; K Leena Kurien

Title:
A Survey of Methodaology of Fraud Detection Using Data Mining

Authors:
K Leena Kurien | Dr. Ajeet Chikkamannur
DOI:
https://doi.org/10.31142/ijtsrd2482

Cite This Article :

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, pp.38-42, URL: https://www.ijtsrd.com/papers/ijtsrd2482.pdf

Download

Abstract :
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.

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

Publication Details:

Unique Identification Number : IJTSRD2482

Published In : Volume-1 | Issue-6, October 2017

Page Number(s) : 38-42

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

About IJTSRD
Indexing

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.