A novel approach to increase scalability while training machine learning algorithms using Bfloat 16 in credit card fraud detection.
Bushra YousufRejwan Bin SulaimanMusarrat Saberin NipunPublished in: CoRR (2022)
Keyphrases
- machine learning algorithms
- credit card fraud detection
- benchmark data sets
- learning algorithm
- machine learning
- predictive accuracy
- decision trees
- machine learning methods
- fraud detection
- machine learning approaches
- random forests
- learning problems
- outlier detection
- learning tasks
- training set
- learning models
- machine learning systems
- training examples
- intrusion detection
- supervised learning
- machine learning models
- standard machine learning algorithms
- data sets
- image classification
- data sources
- moving objects
- data streams
- image sequences
- statistical machine learning
- feature selection