Work

Credit Approval System Using Machine Learning: Challenges and Future Directions

Year: 2021

Type: conference-paper

Source: International Conference on Computing, Networking, Telecommunications & Engineering Sciences Applications (CoNTESA)

DOI: 10.1109/contesa52813.2021.9657153

Authors: Mohammad Fahim Faisal, Mohammad Neyamath Ullah Saqlain, Mohammad Arif Sobhan Bhuiyan, Mahdi H. Miraz, Muhammed J.A. Patwary

Institutions: International Islamic University Chittagong, Xiamen University Malaysia

Language: English

Topic: Financial Distress and Bankruptcy Prediction

Subfield: Accounting

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: closed

Funder: Xiamen University

OpenAlex ID: W4200450738

FWCI: 6.107

Cites: 51

Cited by: 15

Related to: 10