Work

Improving accuracy of C4.5 algorithm using split feature reduction model and bagging ensemble for credit card risk prediction

Year: 2018

Type: conference-paper

Source: International Conference on Information and Communications Technology (ICOIACT)

DOI: 10.1109/icoiact.2018.8350753

Authors: Much Aziz Muslim, Aldi Nurzahputra, Budi Prasetiyo

Institution: State University of Semarang

Language: English

Topic: Financial Distress and Bankruptcy Prediction

Subfield: Accounting

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: closed

Funder: Universität Hamburg

OpenAlex ID: W2798415872

FWCI: 29.76

Cites: 17

Cited by: 31

Related to: 10