Performance analysis of machine learning models for credit delinquency prediction
KS Muktha Priya, GP Sunitha - International Journal of Advanced …, 2022 - cir.nii.ac.jp
抄録< jats: p> The activities of lending loan to those who are in the financial distress are
implemented by the financial institutions like bank. The area which is becoming significant in …
implemented by the financial institutions like bank. The area which is becoming significant in …
Identification of the Key Challenges in Credit Risk Management: A Qualitative Approach
The purpose of this research is to identify and categorise the key challenges facing credit
risk management in Jordanian commercial banks. A qualitative research approach was …
risk management in Jordanian commercial banks. A qualitative research approach was …
[HTML][HTML] Credit Risk Assessment Models in Financial Technology: A Review.
FET Espinoza, MAC Ygnacio - TecnoLógicas, 2023 - scielo.org.co
This review analyzes a selection of scientific articles on the implementation of Credit Risk
Assessment (CRA) systems to identify existing solutions, the most accurate ones, and …
Assessment (CRA) systems to identify existing solutions, the most accurate ones, and …
Modelos para la evaluación de riego crediticio en el ámbito de la tecnología financiera: una revisión
FET Espinoza, MAC Ygnacio - TecnoLógicas, 2023 - revistas.itm.edu.co
Esta revisión analiza una selección de artículos científicos sobre la implantación de
sistemas de evaluación del riesgo de crédito para identificar las soluciones existentes, las …
sistemas de evaluación del riesgo de crédito para identificar las soluciones existentes, las …
Korean Grammar Error Recognition Algorithm Based on Big Data Corpus and Semantic Analysis
G Qin - 2021 5th International Conference on Electronics …, 2021 - ieeexplore.ieee.org
Korean grammar error recognition algorithm based on big data corpus and semantic
analysis is studied in this paper. Data mining directly faces massive data, and there are also …
analysis is studied in this paper. Data mining directly faces massive data, and there are also …