Detecting Fraudulent Transactions Using Stacked Autoencoder Kernel ELM Optimized by the Dandelion Algorithm

Detecting Fraudulent Transactions Using Stacked Autoencoder Kernel ELM Optimized by the Dandelion Algorithm

The risk of fraudulent activity has significantly increased with the rise in digital payments. To resolve this issue there is a need for reliable real-time fraud detection technologies. This research introduced an innovative method called stacked autoencoder kernel extreme learning machine optimized...

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Bibliographic Details
Main Authors: Fatima Zohra El Hlouli, Jamal Riffi, Mhamed Sayyouri, Mohamed Adnane Mahraz, Ali Yahyaouy, Khalid El Fazazy, Hamid Tairi
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Journal of Theoretical and Applied Electronic Commerce Research
Subjects:
kernel extreme learning machine
stacked autoencoder
dandelion algorithm
credit card fraud
Online Access:https://www.mdpi.com/0718-1876/18/4/103

Internet

https://www.mdpi.com/0718-1876/18/4/103

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