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 …

A review of credit scoring research in the age of Big Data

C Onay, E Öztürk - Journal of Financial Regulation and Compliance, 2018 - emerald.com
Purpose This paper aims to survey the credit scoring literature in the past 41 years (1976-
2017) and presents a research agenda that addresses the challenges and opportunities Big …

HOBA: A novel feature engineering methodology for credit card fraud detection with a deep learning architecture

X Zhang, Y Han, W Xu, Q Wang - Information Sciences, 2021 - Elsevier
Credit card transaction fraud costs billions of dollars to card issuers every year. A well-
developed fraud detection system with a state-of-the-art fraud detection model is regarded …

[图书][B] Credit scoring and its applications

L Thomas, J Crook, D Edelman - 2017 - SIAM
Credit Scoring and Its Applications, Second Edition : Back Matter Page 1 Bibliography [1]
Acharya, VV, Bharath, ST, and Srinivasan, A. (2007) Does industry-wide distress affect …

[HTML][HTML] DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring

P Pławiak, M Abdar, J Pławiak, V Makarenkov… - Information …, 2020 - Elsevier
Credit scoring (CS) is an effective and crucial approach used for risk management in banks
and other financial institutions. It provides appropriate guidance on granting loans and …

Credit scoring using three-way decisions with probabilistic rough sets

S Maldonado, G Peters, R Weber - Information Sciences, 2020 - Elsevier
Credit scoring is a crucial task within risk management for any company in the financial
sector. On the one hand, it is in the self-interest of banks to avoid approving credits to …

A new aspect on P2P online lending default prediction using meta-level phone usage data in China

L Ma, X Zhao, Z Zhou, Y Liu - Decision Support Systems, 2018 - Elsevier
P2P online lending platforms provide services where individuals lend money to others
without the involvement of traditional financial institutions. Due to its convenience, the …

Super-app behavioral patterns in credit risk models: Financial, statistical and regulatory implications

L Roa, A Correa-Bahnsen, G Suarez… - Expert Systems with …, 2021 - Elsevier
In this paper we present the impact of alternative data that originates from an app-based
marketplace, in contrast to traditional bureau data, upon credit scoring models. These …

How to identify early defaults in online lending: a cost-sensitive multi-layer learning framework

Z Li, J Zhang, X Yao, G Kou - Knowledge-Based Systems, 2021 - Elsevier
Credit scoring tools are frequently used by lenders to identify bad borrowers who cannot
fully repay their liabilities. This is a classical problem of classification with imbalanced …

Contagious chain risk rating for networked-guarantee loans

D Cheng, Z Niu, Y Zhang - Proceedings of the 26th ACM SIGKDD …, 2020 - dl.acm.org
The small and medium-sized enterprises (SMEs) are allowed to guarantee each other and
form complex loan networks to receive loans from banks during the economic expansion …