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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 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.15 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | GADGET KNOWLEDGE OF TECHNIQUES FOR CREDIT CARD FRUAD DETECTION WITH THE USE OF SMOTE AND ADABOOST |
| Authors Name: | CH.VINAY KUMAR , M.AKASH , CH.RAKESH , V.PAWAN RAJU , H.MALINI |
| Unique Id: | IJSDR2305113 |
| Published In: | Volume 8 Issue 5, May-2023 |
| Abstract: | The advance in technologies such as e-commerce and financial technology (FinTech) applications have sparked an increase in the number of online card transactions that occur on a daily basis. As a result, there has been a spike in credit card fraud that affects card issuing companies, merchants, and banks. It is therefore essential to develop mechanisms that ensure the security and integrity of credit card transactions. In this research, we implement a machine learning (ML) based framework for credit card fraud detection using a real world imbalanced datasets that were generated from European credit cardholders. To solve the issue of class imbalance, we re-sampled the dataset using the Synthetic Minority over-sampling TEchnique (SMOTE). This framework was evaluated using the following ML methods: Support Vector Machine (SVM), Logistic Regression (LR), Random Forest (RF), Extreme Gradient Boosting (XGBoost), Decision Tree (DT), and Extra Tree (ET). These ML algorithms were coupled with the Adaptive Boosting (Ad |
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| Cite Article: | "GADGET KNOWLEDGE OF TECHNIQUES FOR CREDIT CARD FRUAD DETECTION WITH THE USE OF SMOTE AND ADABOOST", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.750 - 753, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305113.pdf |
| Downloads: | 000222060 |
| Publication Details: | Published Paper ID: IJSDR2305113 Registration ID:206314 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: 750 - 753 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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