Impact of the Composition of Feature Extraction and Class Sampling in Medicare Fraud Detection.
Akrity KumariNarinder Singh PunnSanjay Kumar SonbhadraSonali AgarwalPublished in: ICONIP (3) (2022)
Keyphrases
- fraud detection
- feature extraction
- outlier detection
- network intrusion detection
- credit card fraud detection
- data mining techniques
- cost sensitive
- social network analysis
- intrusion detection
- rare events
- credit card
- data mining
- credit card fraud
- online auctions
- feature vectors
- data streams
- image processing
- network intrusion
- feature selection
- databases
- counter terrorism
- financial institutions
- information retrieval
- cost sensitive learning
- learning algorithm
- image classification
- decision trees
- monte carlo
- principal component analysis