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ENHANCED CREDIT WORTHINESS OF BANK CUSTOMER IN NIGERIA USING MACHINE LEARNING AND DIGITAL NERVOUS SYSTEM

This paper presents an enhanced model of machine learning and digital nervous system based on credit worthiness of bank customer in Nigeria. The machine learning have the capability to determine the relevant features and customer’s credit worthiness in efficient manner. The Digital Nervous System (DNS) approach will enable the Credit Risk Management System (CRMS) to capture credit risk information and provide it where it is needed for decision making and when it is needed. The paper aimed at developing an enhanced model for detecting a credit worthiness in a bank. In recent years, customer’s c…

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Source	Internet Archive
Collection	International records
Kind	Document
Publisher	Amanze, B.C. , Asogwa, D.C., Chukwuneke C.I.
Date	2019-02-28
Type	texts
Details	ia title
Found at	https://archive.org/details/httpsiejse.comjournalsindex.phpiejsearticleview23
Archived copy	Look it up in the Wayback Machine
Record ID	`internet-archive:httpsiejse.comjournalsindex.phpiejsearticleview23`

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ENHANCED CREDIT WORTHINESS OF BANK CUSTOMER IN NIGERIA USING MACHINE LEARNING AND DIGITAL NERVOUS SYSTEM. Internet Archive, 2019. Vero Archive, record internet-archive:httpsiejse.comjournalsindex.phpiejsearticleview23.