Privacy-preserving approach to bayesian network structure learning from distributed data.
Olivier Regnier-CoudertJohn A. W. McCallPublished in: GECCO (Companion) (2011)
Keyphrases
- distributed data
- privacy preserving
- bayesian network structure learning
- graph theoretic
- bayesian networks
- structure learning
- data privacy
- data sharing
- privacy concerns
- vertically partitioned data
- privacy preserving data mining
- privacy preservation
- distributed data mining
- data distribution
- data mining algorithms
- private information
- communication cost
- sensitive information
- graphical models
- file system
- privacy protection
- data sets
- databases
- sensitive data
- decision trees
- real world
- probabilistic model
- differential privacy
- multi dimensional
- data access
- network structure