A novel privacy-preserving probability transductive classifiers from group probabilities based on regression model.
Yizhang JiangZhaohong DengKup-Sze ChoiPengjiang QianWenjun HuShitong WangPublished in: J. Intell. Fuzzy Syst. (2015)
Keyphrases
- privacy preserving
- regression model
- probability distribution
- support vector
- privacy preserving data mining
- privacy preservation
- vertically partitioned data
- regression analysis
- model selection
- generalized linear models
- partitioned data
- feature selection
- multi party
- conditional probabilities
- horizontally partitioned data
- explanatory variables
- sensitive information
- privacy protection
- gaussian process
- naive bayesian classification
- privacy concerns
- text classification
- multivariate regression
- privacy preserving association rule mining
- training data
- data perturbation
- privacy sensitive
- decision trees
- privacy issues
- differential privacy
- sensitive data
- private information
- training set
- data publishing
- privacy requirements
- private data
- record linkage
- secure multiparty computation
- scalar product
- semi supervised
- interval valued data
- classification accuracy