UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 2
February-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1902A26


Registration ID:
198615

Page Number

152-157

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Title

Data Mining in Fraud Detection and Audit

Abstract

The increased technological base and development has given rise to new possibilities as well as challenges. The biggest challenge that any organization and businesses faces is fraud because of new technologies and is difficult to recognize than the conventional form of this crime. Therefore, it becomes very important to develop the techniques for detecting fraud to protect the organization from such a crime. Data mining is the most effective technology that has been developed and implemented for the purpose of detecting fraud. This paper focuses on the different tools and techniques of data mining which are employed for detecting the fraud.

Key Words

Data mining, Innovation, Fraud detection.

Cite This Article

"Data Mining in Fraud Detection and Audit", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.152-157, February-2019, Available :http://www.jetir.org/papers/JETIR1902A26.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Data Mining in Fraud Detection and Audit", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp152-157, February-2019, Available at : http://www.jetir.org/papers/JETIR1902A26.pdf

Publication Details

Published Paper ID: JETIR1902A26
Registration ID: 198615
Published In: Volume 6 | Issue 2 | Year February-2019
DOI (Digital Object Identifier):
Page No: 152-157
Country: Bengaluru, Karnataka, India .
Area: Commerce
ISSN Number: 2349-5162
Publisher: IJ Publication


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