A method for detecting conceptual differences based on correlation between decision trees.
Kensuke OhnishiTetsuya YoshidaShogo NishidaPublished in: Systems and Computers in Japan (2004)
Keyphrases
- significant improvement
- synthetic data
- decision trees
- detection method
- high precision
- theoretical analysis
- experimental evaluation
- pairwise
- computational cost
- high accuracy
- error rate
- correlation coefficient
- machine learning
- classification method
- segmentation method
- decision rules
- mutual information
- dynamic programming
- training data