Stock market decision support modeling with tree-based AdaBoost ensemble machine learning models.
Ernest Kwame AmpomahZhiguang QinGabriel NyameFrancis Effirim BotcheyPublished in: Informatica (Slovenia) (2020)
Keyphrases
- stock market
- decision support
- machine learning models
- short term
- ensemble methods
- stock price
- stock exchange
- decision support system
- learning algorithm
- stock trading
- financial markets
- financial data
- multi class
- machine learning approaches
- financial time series
- trading rules
- stock index futures
- base classifiers
- machine learning algorithms
- feature selection
- spam filtering
- long term
- decision trees
- decision making
- data warehouse
- support vector
- training data
- decision makers
- investment strategies