INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Fraud Detection of Credit Card Transaction At Client Side Using Machine Learning
Authors Name:
Gayam Ganesh Krishnareddy
, B.V.V Narashima Rao , P. Maheshbabu , K. Lokesh , R.C. Dyana Priyatharsini
Unique Id:
IJSDR2304310
Published In:
Volume 8 Issue 4, April-2023
Abstract:
Now a days due to the rise and rapid growth of Ecommerce, use of credit card for the online purchase has dramatically increased now a days people using online mode it causes an explosion in the credit card fraud. As credit card becomes the most popular mode of payments for both online as well as regular purchase cases of fraud associated with it are also rising. In real life, more transactions are going on many people are using credit cards, Implementation of efficient system has become imperative for all credit card issuing banks to minimize their loses. many modern techniques based on AI, data mining, fuzzy logic, ML, sequence alignment, Genetic programming etc.., has evolved in detecting various credit cards fraudulent transactions. A clear understanding to all these approaches will certainly lead to an efficient credit card fraud detection system, this will present the various techniques used in credit card fraud detection system
"Fraud Detection of Credit Card Transaction At Client Side Using Machine Learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.2002 - 2004, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304310.pdf
Downloads:
000337362
Publication Details:
Published Paper ID: IJSDR2304310
Registration ID:205455
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 2002 - 2004
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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