Fraud Detection in Mobile Money Transactions Using Machine Learning
Fraud Detection in Mobile Money Transactions Using Machine Learning
dc.contributor.author | Kang, Haimeng | |
dc.contributor.department | Information Systems and Business Analytics | |
dc.contributor.majorProfessor | Anthony Townsend | |
dc.date | 2020-01-07T20:11:02.000 | |
dc.date.accessioned | 2020-06-30T01:34:46Z | |
dc.date.available | 2020-06-30T01:34:46Z | |
dc.date.copyright | Tue Jan 01 00:00:00 UTC 2019 | |
dc.date.issued | 2019-01-01 | |
dc.description.abstract | <p>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.</p> | |
dc.format.mimetype | ||
dc.identifier | archive/lib.dr.iastate.edu/creativecomponents/402/ | |
dc.identifier.articleid | 1449 | |
dc.identifier.contextkey | 15899587 | |
dc.identifier.s3bucket | isulib-bepress-aws-west | |
dc.identifier.submissionpath | creativecomponents/402 | |
dc.identifier.uri | https://dr.lib.iastate.edu/handle/20.500.12876/16959 | |
dc.source.bitstream | archive/lib.dr.iastate.edu/creativecomponents/402/Creative_Component_Haimeng.pdf|||Sat Jan 15 00:08:03 UTC 2022 | |
dc.subject.disciplines | Business Analytics | |
dc.subject.keywords | fraud detection | |
dc.subject.keywords | classification | |
dc.subject.keywords | random forest | |
dc.subject.keywords | gradient boosting | |
dc.subject.keywords | confusion matrix | |
dc.subject.keywords | F1-score | |
dc.title | Fraud Detection in Mobile Money Transactions Using Machine Learning | |
dc.type | article | |
dc.type.genre | creativecomponent | |
dspace.entity.type | Publication | |
relation.isOrgUnitOfPublication | 0099bcd5-3121-4f25-813d-0ec68d96243f | |
thesis.degree.discipline | Information Systems | |
thesis.degree.level | creativecomponent |
File
Original bundle
1 - 1 of 1
- Name:
- Creative_Component_Haimeng.pdf
- Size:
- 1.22 MB
- Format:
- Adobe Portable Document Format
- Description: