Data mining application to healthcare fraud detection: a two-step unsupervised clustering method for outlier detection with administrative databases.
Michela Carlotta MassiFrancesca IevaEmanuele LettieriPublished in: BMC Medical Informatics Decis. Mak. (2020)
Keyphrases
- clustering method
- fraud detection
- outlier detection
- data mining applications
- data mining systems
- knowledge discovery
- databases
- data mining
- credit card fraud detection
- data mining techniques
- credit card fraud
- data cleaning
- clustering algorithm
- credit card
- database
- high dimensional datasets
- cluster analysis
- data streams
- similarity measure
- spectral clustering
- detection algorithm
- machine learning
- data analysis
- data mining algorithms
- data model
- supervised learning
- k means
- data mining methods
- unsupervised learning
- information retrieval
- social network analysis
- association rules
- semi supervised
- data sources