Artificial intelligence in E-Commerce: a bibliometric study and literature review
This paper synthesises research on artificial intelligence (AI) in e-commerce and proposes
guidelines on how information systems (IS) research could contribute to this research …
guidelines on how information systems (IS) research could contribute to this research …
Assessment of tunnel blasting-induced overbreak: A novel metaheuristic-based random forest approach
Overbreak is a detrimental phenomenon caused by tunnel blasting, which can lead to
increased time and cost in the construction schedule. It is very important to establish a model …
increased time and cost in the construction schedule. It is very important to establish a model …
Employing a genetic algorithm and grey wolf optimizer for optimizing RF models to evaluate soil liquefaction potential
Among the research hotspots in geological/geotechnical engineering, research on the
prediction of soil liquefaction potential is still limited. In this research, several machine …
prediction of soil liquefaction potential is still limited. In this research, several machine …
Fraud detection in mobile payment systems using an XGBoost-based framework
P Hajek, MZ Abedin, U Sivarajah - Information Systems Frontiers, 2023 - Springer
Mobile payment systems are becoming more popular due to the increase in the number of
smartphones, which, in turn, attracts the interest of fraudsters. Extant research has therefore …
smartphones, which, in turn, attracts the interest of fraudsters. Extant research has therefore …
A study on predicting loan default based on the random forest algorithm
L Zhu, D Qiu, D Ergu, C Ying, K Liu - Procedia Computer Science, 2019 - Elsevier
Recently, with the advance of electronic commerce and big data technology, P2P online
lending platforms have brought opportunities to businessmen, but at the same time, they are …
lending platforms have brought opportunities to businessmen, but at the same time, they are …
Risk-return modelling in the p2p lending market: Trends, gaps, recommendations and future directions
MJ Ariza-Garzón, MJ Segovia-Vargas… - … Commerce Research and …, 2021 - Elsevier
Abstract Peer-to-peer (P2P) lending is a market with significant growth in recent years. We
review the academic literature published during the last decade on P2P lending to identify …
review the academic literature published during the last decade on P2P lending to identify …
Explainability of a machine learning granting scoring model in peer-to-peer lending
Peer-to-peer (P2P) lending demands effective and explainable credit risk models. Typical
machine learning algorithms offer high prediction performance, but most of them lack …
machine learning algorithms offer high prediction performance, but most of them lack …
2-stage modified random forest model for credit risk assessment of P2P network lending to “Three Rurals” borrowers
C Rao, M Liu, M Goh, J Wen - Applied Soft Computing, 2020 - Elsevier
With the rapid growth of the P2P online loan industry in the “Three Rurals”(agriculture, rural
areas, and farmers) sector, it is imperative to manage the borrowing risk of borrowers in the …
areas, and farmers) sector, it is imperative to manage the borrowing risk of borrowers in the …
What should lenders be more concerned about? Developing a profit-driven loan default prediction model
L Zhang, J Wang, Z Liu - Expert Systems with Applications, 2023 - Elsevier
Reliable and effective loan default risk prediction can help regulators and lenders effectively
identify risky loan applicants and develop proactive and timely response measures to …
identify risky loan applicants and develop proactive and timely response measures to …
Default or profit scoring credit systems? Evidence from European and US peer-to-peer lending markets
For the emerging peer-to-peer (P2P) lending markets to survive, they need to employ credit-
risk management practices such that an investor base is profitable in the long run …
risk management practices such that an investor base is profitable in the long run …