Investigating the effectiveness of one-class and binary classification for fraud detection.
Joffrey L. LeevyJohn T. HancockTaghi M. KhoshgoftaarAzadeh Abdollah ZadehPublished in: J. Big Data (2023)
Keyphrases
- binary classification
- fraud detection
- cost sensitive
- multi class
- single class
- outlier detection
- support vector
- binary classifiers
- class imbalance
- learning problems
- support vector machine
- class distribution
- data mining techniques
- social network analysis
- multi label
- intrusion detection
- prediction accuracy
- active learning
- data mining
- data sets
- kernel methods
- machine learning algorithms
- generalization error
- knowledge discovery
- high dimensional
- decision trees