Machine Learning Classifiers for Predicting Transit Fraud.
Jay ClaiborneAshish GuptaPublished in: AMCIS (2018)
Keyphrases
- machine learning
- machine learning algorithms
- machine learning methods
- decision trees
- machine learning approaches
- supervised classification
- feature selection
- training data
- multiple classifier systems
- learning classifier systems
- support vector
- data mining
- anomaly detection
- active learning
- learning tasks
- inductive logic programming
- knowledge discovery
- learning algorithm
- meta learning
- fraud detection
- explanation based learning
- test set
- feature ranking
- classification method
- multiple classifiers
- roc analysis
- information extraction
- training examples
- natural language processing
- artificial intelligence
- pattern recognition
- data analysis
- knowledge representation
- classification systems
- data mining techniques
- roc curve
- learning problems
- unsupervised learning
- semi supervised learning
- transfer learning
- classification models
- inductive learning
- supervised learning
- linear classifiers
- model selection
- feature vectors
- statistical methods
- computer vision