P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction.
Frederic T. StahlMax A. BramerMo AddaPublished in: IFIP AI (2008)
Keyphrases
- rule induction
- computationally efficient
- decision rules
- classification rules
- decision trees
- instance based learning
- rough sets
- knowledge discovery in databases
- rule sets
- rough set theory
- machine learning
- feature extraction
- pattern recognition
- classification accuracy
- instance selection
- classification algorithm
- rule induction algorithm
- data mining
- text classification
- preprocessing
- support vector
- feature selection
- inductive logic programming
- classification models
- decision tree algorithm
- supervised learning
- semi supervised learning
- databases
- nearest neighbor
- knn
- feature vectors
- feature space
- artificial intelligence
- genetic algorithm
- information retrieval
- real world