UGC Approved Journal no 63975(19)

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

Volume 8 Issue 11
November-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2111183


Registration ID:
317070

Page Number

b681-b684

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Title

A Random Forest Fraud Transaction Detection System using Data Mining Techniques

Abstract

Every day, news of financial statement fraud is adversely affecting the economy worldwide. Considering the influence of the loss incurred due to fraud, effective measures and methods should be employed for prevention and detection of financial statement fraud. I integrate scholastic writing identified with fake monetary revealing with double purposes: (1) to more likely comprehend the nature and degree of the current writing on monetary announcing misrepresentation, and (2) to feature regions where there is need for future examination. I survey distributions in bookkeeping and related disciplines including criminal science, morals, finance, authoritative conduct acknowledged for distribution. The implementation of data mining techniques for fraud detection follows the traditional information flow of data mining, which begins with feature selection followed by representation, data collection and management, pre -processing, data mining, post-processing, and performanceevaluation

Key Words

Fraud detection, Data mining, Online Transaction

Cite This Article

"A Random Forest Fraud Transaction Detection System using Data Mining Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 11, page no.b681-b684, November-2021, Available :http://www.jetir.org/papers/JETIR2111183.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

"A Random Forest Fraud Transaction Detection System using Data Mining Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 11, page no. ppb681-b684, November-2021, Available at : http://www.jetir.org/papers/JETIR2111183.pdf

Publication Details

Published Paper ID: JETIR2111183
Registration ID: 317070
Published In: Volume 8 | Issue 11 | Year November-2021
DOI (Digital Object Identifier):
Page No: b681-b684
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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