Fraudulent detection model using machine learning techniques for unstructured supplementary service data

Fraudulent detection model using machine learning techniques for unstructured supplementary service data

The increase in mobile phones accessibility and technological advancement in almost every corner of the world has shaped how banks offer financial service. Such services were extended to low-end customers without a smartphone providing Alternative Banking Channels (ABCs) service, rendering regular f...

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书目详细资料
主要作者:	Olugbenga, Akinje Ayorinde
格式:	Thesis
语言:	English
出版:	2021
主题:	QA75 Electronic computers Computer science
在线阅读:	http://eprints.utm.my/id/eprint/96376/1/AyoAkinjeMSC2021.pdf.pdf
标签:	添加标签没有标签, 成为第一个标记此记录!

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