Book chapter
Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity, IGI Global, 2022, pp. 25--45
Contact description
APA
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Moroke, N. D., & Makatjane, K. (2022). Predictive modelling for financial fraud detection using data analytics: a gradient-boosting decision tree. In Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity (pp. 25–45). IGI Global.
Chicago/Turabian
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Moroke, Ntebogang Dinah, and Katleho Makatjane. “Predictive Modelling for Financial Fraud Detection Using Data Analytics: a Gradient-Boosting Decision Tree.” In Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity, 25–45. IGI Global, 2022.
MLA
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Moroke, Ntebogang Dinah, and Katleho Makatjane. “Predictive Modelling for Financial Fraud Detection Using Data Analytics: a Gradient-Boosting Decision Tree.” Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity, IGI Global, 2022, pp. 25–45.
BibTeX Click to copy
@incollection{moroke2022a,
title = {Predictive modelling for financial fraud detection using data analytics: a gradient-boosting decision tree},
year = {2022},
pages = {25--45},
publisher = {IGI Global},
author = {Moroke, Ntebogang Dinah and Makatjane, Katleho},
booktitle = {Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity}
}