Predictive modelling for financial fraud detection using data analytics: a gradient-boosting decision tree


Book chapter


Ntebogang Dinah Moroke, Katleho Makatjane
Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity, IGI Global, 2022, pp. 25--45

Cite

Cite

APA   Click to copy
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   Click to copy
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   Click to copy
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}
}