Classification methods applied to credit scoring: Systematic review and overall comparison

F Louzada, A Ara, GB Fernandes - Surveys in Operations Research and …, 2016 - Elsevier
The need for controlling and effectively managing credit risk has led financial institutions to
excel in improving techniques designed for this purpose, resulting in the development of …

Information gain directed genetic algorithm wrapper feature selection for credit rating

S Jadhav, H He, K Jenkins - Applied Soft Computing, 2018 - Elsevier
Financial credit scoring is one of the most crucial processes in the finance industry sector to
be able to assess the credit-worthiness of individuals and enterprises. Various statistics …

[HTML][HTML] Improved logistic regression model for diabetes prediction by integrating PCA and K-means techniques

C Zhu, CU Idemudia, W Feng - Informatics in Medicine Unlocked, 2019 - Elsevier
Diabetes causes a large number of deaths each year and a large number of people living
with the disease do not realize their health condition early enough. In this study, we propose …

A study on credit scoring modeling with different feature selection and machine learning approaches

SK Trivedi - Technology in Society, 2020 - Elsevier
A bit hurdle for financial institutions is to decide potential candidates to give a line of credit
identifying the right people without any credit risk. For such a crucial decision, past …

An academic review: applications of data mining techniques in finance industry

S Jadhav, H He, KW Jenkins - 2017 - dspace.lib.cranfield.ac.uk
With the development of Internet techniques, data volumes are doubling every two years,
faster than predicted by Moore's Law. Big Data Analytics becomes particularly important for …

Timely prediction of diabetes by means of machine learning practices

RP Tripathi, M Sharma, AK Gupta, D Pandey… - Augmented Human …, 2023 - Springer
The quality and quantity of medical data produced by digital devices have improved
significantly in recent decades. This has led to cheap and easy data generation. There has …

A multi-stage self-adaptive classifier ensemble model with application in credit scoring

S Guo, H He, X Huang - IEEE Access, 2019 - ieeexplore.ieee.org
In recent years, credit scoring has received wide attention from financial institutions with the
rating accuracy influencing both risk control and profitability to a considerable extent. This …

[PDF][PDF] Predicting student enrollments and attrition patterns in higher educational institutions using machine learning.

S Shilbayeh, A Abonamah - Int. Arab J. Inf. Technol., 2021 - researchgate.net
In higher educational institutions, student enrollment management and increasing student
retention are fundamental performance metrics to academic and financial sustainability. In …

A new algorithm of modified binary particle swarm optimization based on the Gustafson-Kessel for credit risk assessment

FO Sameer, MR Abu Bakar, AA Zaidan… - Neural Computing and …, 2019 - Springer
To increase the quality of loans provision and reduce the risk involved in this process,
several credit scoring models have been developed and utilized to improve the process of …

Biogeography based optimization for mining rules to assess credit risk

PK Giri, SS De, S Dehuri, SB Cho - Intelligent Systems in …, 2021 - Wiley Online Library
Financial institutions, by and large, rely on the use of machine learning techniques to
improve the classic credit risk assessment model for reduction of costs, delivery of faster …