Credit card fraud detection through machine learning algorithm
Every year, millions of dollars are lost due to fraudulent credit card transactions. To help fraud investigators, more algorithms are turning to powerful machine learning methodologies. Designing fraud detection algorithms is particularly difficult because to the non-stationary distribution of data,...
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| Format: | Article |
| Language: | English |
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REA Press
2021-09-01
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| Series: | Big Data and Computing Visions |
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| Online Access: | https://www.bidacv.com/article_142231_02c26666414906c5c998c610de0376f0.pdf |
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| _version_ | 1832579319405215744 |
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| author | Agyan Panda Bharath Yadlapalli Zhi Zhou |
| author_facet | Agyan Panda Bharath Yadlapalli Zhi Zhou |
| author_sort | Agyan Panda |
| collection | DOAJ |
| description | Every year, millions of dollars are lost due to fraudulent credit card transactions. To help fraud investigators, more algorithms are turning to powerful machine learning methodologies. Designing fraud detection algorithms is particularly difficult because to the non-stationary distribution of data, excessively skewed class distributions, and continuous streams of transactions. At the same time, due to confidentiality considerations, public data is uncommon, leaving many questions unanswered about the best technique for dealing with them. We present some replies from the practitioners in this publication. Un balanced ness, non- stationarity and assessment. Our industrial partner provided us with an actual credit card dataset, which we used to do the analysis. In this project, we attempt to develop and evaluate a model for the imbalanced credit card fraud dataset. |
| format | Article |
| id | doaj-art-1d70bfd3d3954b4f8aabe3065d654bda |
| institution | Kabale University |
| issn | 2783-4956 2821-014X |
| language | English |
| publishDate | 2021-09-01 |
| publisher | REA Press |
| record_format | Article |
| series | Big Data and Computing Visions |
| spelling | doaj-art-1d70bfd3d3954b4f8aabe3065d654bda2025-01-30T12:21:25ZengREA PressBig Data and Computing Visions2783-49562821-014X2021-09-011314014510.22105/bdcv.2021.142231142231Credit card fraud detection through machine learning algorithmAgyan Panda0Bharath Yadlapalli1Zhi Zhou2Department of Computer Science and Engineering, OEC Engineering College, OD, India.Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vijayawada, AP, India.Government Information Headquarters Inspur Software Group Company Ltd, Jinan, China.Every year, millions of dollars are lost due to fraudulent credit card transactions. To help fraud investigators, more algorithms are turning to powerful machine learning methodologies. Designing fraud detection algorithms is particularly difficult because to the non-stationary distribution of data, excessively skewed class distributions, and continuous streams of transactions. At the same time, due to confidentiality considerations, public data is uncommon, leaving many questions unanswered about the best technique for dealing with them. We present some replies from the practitioners in this publication. Un balanced ness, non- stationarity and assessment. Our industrial partner provided us with an actual credit card dataset, which we used to do the analysis. In this project, we attempt to develop and evaluate a model for the imbalanced credit card fraud dataset.https://www.bidacv.com/article_142231_02c26666414906c5c998c610de0376f0.pdfcredit card fraudmachine learning applicationsdata scienceautomated fraud detection |
| spellingShingle | Agyan Panda Bharath Yadlapalli Zhi Zhou Credit card fraud detection through machine learning algorithm Big Data and Computing Visions credit card fraud machine learning applications data science automated fraud detection |
| title | Credit card fraud detection through machine learning algorithm |
| title_full | Credit card fraud detection through machine learning algorithm |
| title_fullStr | Credit card fraud detection through machine learning algorithm |
| title_full_unstemmed | Credit card fraud detection through machine learning algorithm |
| title_short | Credit card fraud detection through machine learning algorithm |
| title_sort | credit card fraud detection through machine learning algorithm |
| topic | credit card fraud machine learning applications data science automated fraud detection |
| url | https://www.bidacv.com/article_142231_02c26666414906c5c998c610de0376f0.pdf |
| work_keys_str_mv | AT agyanpanda creditcardfrauddetectionthroughmachinelearningalgorithm AT bharathyadlapalli creditcardfrauddetectionthroughmachinelearningalgorithm AT zhizhou creditcardfrauddetectionthroughmachinelearningalgorithm |