Default avoidance on credit card portfolios using accounting, demographical and exploratory factors: decision making based on machine learning (ML) techniques.
Nikolaos SariannidisStelios PapadakisAlexandros GarefalakisChristos LemonakisKyriaki Argyro TsioptsiaPublished in: Ann. Oper. Res. (2020)
Keyphrases
- credit card
- machine learning
- decision making
- payment scheme
- credit card fraud
- transactional data
- fraud detection
- maximum likelihood
- data mining
- decision support system
- bankruptcy prediction
- sensitive information
- payment systems
- financial data
- databases
- text classification
- support vector machine
- learning algorithm
- multi class
- trusted third party
- multiple criteria linear programming
- outlier detection
- portfolio selection
- feature selection
- credit card fraud detection
- information retrieval