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Credit card fraud classification using applied machine learning – a comparative study of 24 machine learning algorithms

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Bibliographic Details
Published in:Journal of Advanced Engineering and Computation
Format: Online Article RSS Article
Published: 2025
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container_title Journal of Advanced Engineering and Computation
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
RSS Article
genre Journal Article
id rss_article:6790
institution FRELIP
journal_source_facet Journal of Advanced Engineering and Computation
publishDate 2025
publishDateSort 2025
record_format rss_article
spellingShingle Credit card fraud classification using applied machine learning – a comparative study of 24 machine learning algorithms
— — — — — Computer Engineering
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display — — — — — Computer Engineering
Computer Science & IT
Engineering & Technology
— — — — — Computer Engineering
Computer Science & IT
Engineering & Technology
subject_facet — — — — — Computer Engineering
Computer Science & IT
Engineering & Technology
title Credit card fraud classification using applied machine learning – a comparative study of 24 machine learning algorithms
title_auth Credit card fraud classification using applied machine learning – a comparative study of 24 machine learning algorithms
title_full Credit card fraud classification using applied machine learning – a comparative study of 24 machine learning algorithms
title_fullStr Credit card fraud classification using applied machine learning – a comparative study of 24 machine learning algorithms
title_full_unstemmed Credit card fraud classification using applied machine learning – a comparative study of 24 machine learning algorithms
title_short Credit card fraud classification using applied machine learning – a comparative study of 24 machine learning algorithms
title_sort credit card fraud classification using applied machine learning – a comparative study of 24 machine learning algorithms
topic — — — — — Computer Engineering
Computer Science & IT
Engineering & Technology
url https://jaec.vn/index.php/JAEC/article/view/515