Privacy-preserving and high-accurate outsourced disease predictor on random forest.
Zhuoran MaJianfeng MaYinbin MiaoXimeng LiuPublished in: Inf. Sci. (2019)
Keyphrases
- privacy preserving
- random forest
- decision trees
- privacy preserving data mining
- vertically partitioned data
- privacy preservation
- ensemble methods
- feature set
- private information
- private data
- multi party
- sensitive information
- horizontally partitioned data
- data privacy
- third party
- privacy concerns
- differential privacy
- privacy issues
- privacy requirements
- secure multiparty computation
- privacy sensitive
- machine learning
- scalar product
- privacy preserving association rule mining
- multi label
- privacy protection