Differential Private (Random) Decision Tree Without Adding Noise.
Ryo NojimaLihua WangPublished in: ICONIP (9) (2023)
Keyphrases
- decision trees
- classification noise
- naive bayes
- noise model
- noise level
- privacy preserving
- random forest
- decision tree induction
- machine learning algorithms
- noisy data
- additive noise
- predictive accuracy
- noise reduction
- classification models
- noise sensitivity
- machine learning
- signal to noise ratio
- logistic regression
- learning algorithm
- image structure
- estimation error
- decision table
- e government
- random noise
- attribute selection
- decision tree algorithm
- decision tree algorithms
- association rules