Predicting Fraud in Mobile Money Transactions using Machine Learning: The Effects of Sampling Techniques on the Imbalanced Dataset.
Francis Effirim BotcheyZhen QinKwesi Hughes-LarteyErnest Kwame AmpomahPublished in: Informatica (Slovenia) (2021)
Keyphrases
- machine learning
- imbalanced datasets
- sampling methods
- imbalanced data
- cost sensitive learning
- fraud detection
- learning from imbalanced data
- random sampling
- machine learning algorithms
- decision trees
- learning tasks
- active learning
- text classification
- machine learning methods
- rare class
- data mining
- class distribution
- credit card
- sampling algorithm
- learning algorithm
- model selection
- text mining
- support vector machine
- knowledge discovery
- minority class