Privacy-preserving clustering with distributed EM mixture modeling.
Xiaodong LinChris CliftonMichael Y. ZhuPublished in: Knowl. Inf. Syst. (2005)
Keyphrases
- privacy preserving
- mixture modeling
- em algorithm
- density estimation
- mixture model
- horizontally partitioned data
- multi party
- horizontally partitioned
- partitioned data
- privacy sensitive
- expectation maximization
- privacy preserving data mining
- privacy preservation
- vertically partitioned data
- k means
- privacy preserving classification
- secure multiparty computation
- gaussian mixture model
- sensitive information
- private information
- preserving privacy
- maximum likelihood
- probabilistic model
- privacy protection
- image segmentation
- privacy concerns
- outlier detection
- unsupervised learning
- dirichlet distribution
- clustering algorithm
- generative model
- data privacy
- differential privacy
- data perturbation
- model selection
- probability density function
- categorical data
- cluster analysis
- peer to peer
- scalar product
- knn
- distributed data
- query processing
- databases