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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書目詳細資料
主要作者:	Olugbenga, Akinje Ayorinde
格式:	Thesis
語言:	English
出版:	2021
主題:	QA75 Electronic computers Computer science
在線閱讀:	http://eprints.utm.my/id/eprint/96376/1/AyoAkinjeMSC2021.pdf.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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