Secure training of decision trees with continuous attributes.
Mark AbspoelDaniel EscuderoNikolaj VolgushevPublished in: IACR Cryptol. ePrint Arch. (2020)
Keyphrases
- continuous attributes
- decision trees
- discretization method
- continuous data
- classification rules
- discretization methods
- training set
- numeric attributes
- naive bayes classifier
- attribute values
- naive bayes
- training samples
- supervised learning
- training data
- training examples
- rule induction
- rule extraction
- continuous domains
- genetic programming
- computational intelligence
- feature vectors