Intelligent Stock Selecting via Bayesian Naive Classifiers on the Hybrid Use of Scientific and Humane Attributes.
Tien-Tsai HuangChir-Ho ChangPublished in: ISDA (1) (2008)
Keyphrases
- training set
- support vector
- attribute values
- intelligent systems
- decision trees
- artificial intelligent systems
- training data
- hybrid intelligent systems
- artificial intelligence
- training samples
- irrelevant attributes
- bayesian networks
- feature set
- stock market
- multiple classifiers
- multi attribute
- missing attribute values
- svm classifier
- machine learning algorithms
- maximum likelihood
- feature selection
- classification algorithm
- class labels
- test set
- classification models
- class conditional densities
- scientific data
- supervised classification
- linear classifiers
- bayesian methods
- class membership
- machine learning methods
- stock data
- bayes classifiers
- attribute selection
- stock price
- roc curve
- posterior probability
- data sets
- training examples
- data mining