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
Credit cards are now possibly the most popular method of payment for both offline and online purchases thanks to new developments in electronic commerce systems and communication technologies; as a result, there is significantly more fraud associated with such transactions. Every year, fraudulent credit card transactions cause businesses and consumers to lose a lot of money, and con artists are constantly looking for new tools and techniques to perpetrate fraud. The increased use of electronic payments is now significantly impacted by the detection of fraudulent activities. As a result, methods that are efficient and effective for identifying fraud in credit card operations are required. This study suggests a method for using an improved Gradient Boosting classifier to identify theft in credit card transactions. Using a gradient-boosting classifier that has been optimized, we suggest a clever method for spotting theft in credit card transactions. According to the suggested methodology, classification systems have become increasingly effective at detecting credit card fraud. The research makes a contribution to the use of various classification algorithms for credit card fraud detection with various kinds of data set. Gradient Boosting Classifier is one of the classification methods. The f1 score, accuracy, precision, recall, sensitivity, and specificity are used to determine the categorization outcome
"Credit Card Fraud Detection Using GBC Algorithm.", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.300 - 303, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304058.pdf
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Publication Details:
Published Paper ID: IJSDR2304058
Registration ID:205047
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 300 - 303
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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