Home ›
Entities
› academia
› Predicting Fraud in Mobile Money Transactions using Machine Learning: The Effects of Sampling Techniques on the Imbalanced Dataset
Predicting Fraud in Mobile Money Transactions using Machine Learning: The Effects of Sampling Techniques on the Imbalanced Dataset
Research article (Informatica, 2022) · cited 11× · AI/ML
Predicting Fraud in Mobile Money Transactions using Machine Learning: The Effects of Sampling Techniques on the Imbalanced Dataset
Summary
Predicting Fraud in Mobile Money Transactions using Machine Learning: The Effects of Sampling Techniques on the Imbalanced Dataset is a scholarly article[1].
Key Facts
Predicting Fraud in Mobile Money Transactions using Machine Learning: The Effects of Sampling Techniques on the Imbalanced Dataset's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Predicting Fraud in Mobile Money Transactions using Machine Learning: The Effects of Sampling Techniques on the Imbalanced Dataset. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-fraud-in-mobile-money-transactions-using-machine-learning-the-effects-of-sampling-techniques-on-the-imbalance
MLA“Predicting Fraud in Mobile Money Transactions using Machine Learning: The Effects of Sampling Techniques on the Imbalanced Dataset.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-fraud-in-mobile-money-transactions-using-machine-learning-the-effects-of-sampling-techniques-on-the-imbalance.
BibTeX@misc{4ortxyz_predicting-fraud-in-mobile-money-transactions-using-machine-learning-the-effects-of-sampling-techniques-on-the-imbalance_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting Fraud in Mobile Money Transactions using Machine Learning: The Effects of Sampling Techniques on the Imbalanced Dataset}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-fraud-in-mobile-money-transactions-using-machine-learning-the-effects-of-sampling-techniques-on-the-imbalance}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting Fraud in Mobile Money Transactions using Machine Learning: The Effects of Sampling Techniques on the Imbalanced Dataset — https://4ort.xyz/entity/predicting-fraud-in-mobile-money-transactions-using-machine-learning-the-effects-of-sampling-techniques-on-the-imbalance (retrieved 2026-05-24)