Stock prediction using non-negative discriminative feature selection.
Lawrence Oseremen AgbatorBenjawan SrisuraPublished in: Int. J. Data Anal. Tech. Strateg. (2022)
Keyphrases
- feature selection
- discriminative features
- feature extraction
- prediction accuracy
- text classification
- informative features
- text categorization
- classification accuracy
- feature set
- information gain
- prediction model
- positive and negative
- multi class
- prediction error
- support vector
- mutual information
- irrelevant features
- stock market
- parameter optimization
- stock price
- stock data
- stock trading
- prediction algorithm
- financial time series
- decision stumps
- data sets
- ensemble classifier
- discriminative power
- feature subset
- microarray data
- unsupervised learning
- image classification
- dimensionality reduction
- supervised learning
- support vector machine
- machine learning