Privacy Preserving Feature Selection for Vertically Distributed Medical Data based on Genetic Algorithms and Naïve Bayes.
Boudheb TarikZakaria ElberrichiPublished in: Int. J. Inf. Syst. Model. Des. (2018)
Keyphrases
- privacy sensitive
- medical data
- bayes classifiers
- bayes classifier
- privacy preserving
- feature selection
- tree augmented
- bayesian classifiers
- medical images
- text categorization
- bayesian network classifiers
- horizontally partitioned
- multi party
- horizontally partitioned data
- naive bayes
- text classification
- support vector machine
- decision trees
- privacy preservation
- data mining
- vertically partitioned data
- privacy preserving data mining
- bayesian classifier
- medical records
- partitioned data
- feature set
- classification accuracy
- naive bayes classifier
- machine learning
- support vector
- sensitive data
- privacy concerns
- data privacy
- private information
- real world
- distributed environment
- genetic programming
- dimensionality reduction
- privacy preserving classification
- secure multiparty computation
- privacy preserving association rule mining