The application of machine learning to study fraud in the accounting literature
Purpose This study aims to objectively synthesize the volume of accounting literature on
financial statement fraud (FSF) using a systematic literature review research method …
financial statement fraud (FSF) using a systematic literature review research method …
Who gets the money? A qualitative analysis of fintech lending and credit scoring through the adoption of AI and alternative data
Credit scoring plays an important role in determining the accessibility of credit in the
financial sector. This in turn has a significant impact on how economic opportunities are …
financial sector. This in turn has a significant impact on how economic opportunities are …
Novel statistical regularized extreme learning algorithm to address the multicollinearity in machine learning
H Yildirim - IEEE Access, 2024 - ieeexplore.ieee.org
The multicollinearity problem is a common phenomenon in data-driven studies, significantly
affecting the performance of machine learning algorithms during the process of extracting …
affecting the performance of machine learning algorithms during the process of extracting …
Multilayer perceptron optimization on imbalanced data using svm-smote and one-hot encoding for credit card default prediction
AS Almajid - Journal of Advances in Information Systems and …, 2021 - journal.unnes.ac.id
Credit risk assessment analysis by classifying potential users is an important process to
reduce the occurrence of default users. The problems faced from the classification process …
reduce the occurrence of default users. The problems faced from the classification process …
[CITATION][C] Machine Learning for Personal Credit Evaluation: A Systematic Review
J Cano Chuqui, JA Ogosi Auqui, VH Guadalupe Mori… - 2022 - repositorio.upsjb.edu.pe
The importance of information in today's world as it is a key asset for business growth and
innovation. The problem that arises is the lack of understanding of knowledge quality …
innovation. The problem that arises is the lack of understanding of knowledge quality …
Machine learning for personal credit evaluation: A systematic review
JA Ogosi Auqui, J Cano Chuqui, VH Guadalupe Mori… - 2022 - alicia.concytec.gob.pe
The importance of information in today's world as it is a key asset for business growth and
innovation. The problem that arises is the lack of understanding of knowledge quality …
innovation. The problem that arises is the lack of understanding of knowledge quality …
Platforms for Banking 5.0
B Nicoletti, B Nicoletti - Banking 5.0: How Fintech Will Change Traditional …, 2021 - Springer
Banking 5.0 platforms are strategic components that support organizational efficiency,
effectiveness, and profitability. They support the creation of new business models, products …
effectiveness, and profitability. They support the creation of new business models, products …
[PDF][PDF] Machine Learning for Personal Credit Evaluation: A Systematic
CC JORGE, OAJ ANTONIO - wseas.com
The importance of information in today's world as it is a key asset for business growth and
innovation. The problem that arises is the lack of understanding of knowledge quality …
innovation. The problem that arises is the lack of understanding of knowledge quality …
Tackling Illicit Financial Flows and Cyberattacks for Enhancing National Security
OV Kuzmenko, HM Yarovenko, VV Bozhenko - 2021 - essuir.sumdu.edu.ua
Tackling Illicit Financial Flows and Cyberattacks for Enhancing National Security Page 1
Tackling Illicit Financial Flows and Cyberattacks for Enhancing National Security Centre of …
Tackling Illicit Financial Flows and Cyberattacks for Enhancing National Security Centre of …