Exploring Support Vector Machines and Random Forests to Detect Advanced Fee Fraud Activities on Internet.
Abiodun ModupeOludayo O. OlugbaraSunday Olusegun OjoPublished in: ICDM Workshops (2011)
Keyphrases
- random forests
- logistic regression
- criminal activities
- support vector
- random forest
- learning machines
- decision trees
- large margin classifiers
- ensemble methods
- law enforcement
- identity theft
- machine learning algorithms
- tree ensembles
- decision tree ensembles
- generalization ability
- loss function
- kernel function
- naive bayes
- ensemble learning
- randomized trees
- fraud detection
- feature selection
- head pose estimation
- cross validation
- regression forests
- classification accuracy
- radial basis function
- neural network
- anomaly detection
- genetic programming
- support vector machine
- data mining