Combining statistical independence testing, visual attribute selection and automated analysis to find relevant attributes for classification.
Thorsten MayJames DaveyJörn KohlhammerPublished in: IEEE VAST (2010)
Keyphrases
- attribute selection
- relevant attributes
- automated analysis
- statistical independence
- decision trees
- classification models
- decision tree induction
- visual analysis
- feature selection
- information gain
- machine learning
- probability estimation
- text classification
- classification algorithm
- blind source separation
- software quality
- cross validation
- naive bayes
- model selection
- support vector