Auction Fraud Classification Based on Clustering and Sampling Techniques.
Farzana AnowarSamira SadaouiMalek MouhoubPublished in: ICMLA (2018)
Keyphrases
- unsupervised learning
- unsupervised classification
- anomaly detection
- classification accuracy
- pattern recognition
- k means
- supervised classification
- unsupervised clustering
- clustering method
- feature vectors
- decision trees
- sample size
- classification algorithm
- support vector
- clustering analysis
- feature extraction
- support vector machine svm
- fraud detection
- feature selection
- high dimensionality
- classification method
- image classification
- support vector machine
- machine learning
- classification models
- random sampling
- outlier detection
- credit card fraud detection