Work

Unveiling Financial Distress: A Comparative Analysis of Random Forest and Naïve Bayes Models

Year: 2025

Type: conference-paper

Source: IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)

DOI: 10.1109/iatmsi64286.2025.10984893

Authors: Diandra Elsamayori, Farida Titik Kristanti

Institution: Telkom University

Language: English

Topic: Financial Distress and Bankruptcy Prediction

Subfield: Accounting

Field: Business, Management and Accounting

Domain: Social Sciences

SDG: Decent work and economic growth

Open Access status: closed

OpenAlex ID: W4410229388

FWCI: 19.53

Cites: 39

Cited by: 3

Related to: 10