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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Published Paper Details:
Paper Title
DETECTION OF CREDIT CARD FRAUD USING MACHINE LEARNING
Authors
Mrs. T. Sujatha Jayakrishnan, Mr. M. Kannan
Keywords
K-Nearest Neighbor, Naive Bayes,, Support Vector Machine, Random Forest
Abstract
Credit card fraud has become a major problem worldwide. Due to the fact that credit cards are the most widely used payment method for both traditional and online purchases, there are an increasing number of fraud incidents. Credit card firms must be able to identify fraudulent transactions in order to prevent charging customers for goods they did not buy. There are several ways that credit card fraud can occur, but the most frequent ones are lost, stolen, non-existent, and card skimming.Several machine learning models are applied to each fraud instance, and the most effective strategy is chosen after assessment.. The set of data serves as the algorithm's input. Training is done using the sample data. Furthermore, the mathematical values for classification are dealt with in the suggested model's training.
IJCRT's Publication Details
Unique Identification Number - IJCRT2403215
Paper ID - 249722
Page Number(s) - b734-b744
Pubished in - Volume 12 | Issue 3 | March 2024
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Mrs. T. Sujatha Jayakrishnan, Mr. M. Kannan, "DETECTION OF CREDIT CARD FRAUD USING MACHINE LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 3, pp.b734-b744, March 2024, Available at :http://www.ijcrt.org/papers/IJCRT2403215.pdf
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Volume 12 | Issue 7
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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