Flowchart data balancing algorithm (SMOTE).

<div><p>Financial fraud detection (FFD) is crucial for ensuring the safety and efficiency of financial transactions. This article presents the Regularised Memory Graph Attention Capsule Network (RMGACNet), an original architecture aiming at improving fraud detection using Bidirectional L...

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Bibliographic Details
Main Author:	Xiangting Shi (21439579) (author)
Other Authors:	Xiaochen Wang (235611) (author), Yakang Zhang (20598123) (author), Xiaoyi Zhang (577299) (author), Manning Yu (20598129) (author), Lihao Zhang (10881342) (author)
Published:	2025
Subjects:	Cancer Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified original architecture aiming approach enhances comparison 492 fraud instances two reliable datasets advanced feature extraction 1 million transactions scale datasets feature selection transactions dataset financial transactions 807 transactions term memory rmgacnet ), networks combined handling large findings indicate f1 score existing methods european cardholder contains 284 classification algorithms cis dataset article presents 9770 measures
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Flowchart data balancing algorithm (SMOTE).

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