Degree Type
Creative Component
Semester of Graduation
Fall 2019
Department
Information Systems and Business Analytics
First Major Professor
Anthony Townsend
Degree(s)
Master of Science (MS)
Major(s)
Information Systems
Abstract
This study explores an effective data mining system for fraud detection in mobile financial transactions. Attempting two broad-used supervised machine learning models, random forest and gradient boosting, the study aims to test and compare their applicability in the detection of fraudulent records. Both classification models were developed using a synthetic dataset of mobile money transactions, which was generated based on a sample of real transactions extracted from an international mobile money service company.
Copyright Owner
Kang, Haimeng
Copyright Year
2019
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License
File Format
Recommended Citation
Kang, Haimeng, "Fraud Detection in Mobile Money Transactions Using Machine Learning" (2019). Creative Components. 402.
https://lib.dr.iastate.edu/creativecomponents/402
