Result: Financial Anomalies and Creditworthiness: A Python-Driven Machine Learning Approach Using Mahalanobis Distance for ISE-Listed Companies in the Production and Manufacturing Sector
Title:
Financial Anomalies and Creditworthiness: A Python-Driven Machine Learning Approach Using Mahalanobis Distance for ISE-Listed Companies in the Production and Manufacturing Sector
Authors:
Source:
Journal of Financial Risk Management. 13:1-41
Publisher Information:
Scientific Research Publishing, Inc., 2024.
Publication Year:
2024
Document Type:
Academic journal
Article
ISSN:
2167-9541
2167-9533
2167-9533
DOI:
10.4236/jfrm.2024.131001
Rights:
CC BY
Accession Number:
edsair.doi...........9c2ea5416884732b57c5f3088dbab3b3
Database:
OpenAIRE