T3C: improving a decision tree classification algorithm's interval splits on continuous attributes.
Panagiotis TzirakisChristos TjortjisPublished in: Adv. Data Anal. Classif. (2017)
Keyphrases
- classification algorithm
- continuous attributes
- classification rules
- naive bayes
- decision trees
- naive bayes classifier
- discretization method
- knn
- k nearest neighbor
- attribute dependencies
- document classification
- training set
- classification accuracy
- rule extraction
- rule sets
- support vector machine
- machine learning
- numeric attributes
- text classification
- test instances
- learning algorithm
- machine learning algorithms
- text categorization
- data mining
- class labels
- genetic programming
- decision rules
- feature selection
- clustering algorithm
- cost sensitive
- training data
- supervised learning
- prior knowledge
- high dimensional
- evolutionary algorithm
- nearest neighbor