Applying hybrid machine learning algorithms to assess customer risk-adjusted revenue in the financial industry.
Marcos Roberto MachadoSalma KarrayPublished in: Electron. Commer. Res. Appl. (2022)
Keyphrases
- machine learning algorithms
- risk management
- benchmark data sets
- learning algorithm
- machine learning
- decision trees
- predictive accuracy
- retail banking
- machine learning methods
- random forests
- financial services
- portfolio optimization
- learning problems
- financial risk
- banking industry
- machine learning approaches
- financial institutions
- machine learning models
- learning tasks
- return on investment
- customer base
- decision making
- machine learning systems
- electronic commerce
- standard machine learning algorithms
- risk analysis
- commercial banks
- portfolio management
- market share
- input features
- transfer learning
- software vendors
- point of sale
- data sets
- investment decisions
- credit risk
- customer satisfaction
- stock market
- multi class
- customer relationship management
- artificial neural networks
- financial markets
- learning models