Privacy-Preserving EM Algorithm for Clustering on Social Network.
Bin YangIssei SatoHiroshi NakagawaPublished in: PAKDD (1) (2012)
Keyphrases
- privacy preserving
- em algorithm
- expectation maximization
- social networks
- model based clustering
- mixture model
- maximum likelihood
- privacy preserving data mining
- finite mixture models
- mixture modeling
- k means
- vertically partitioned data
- clustering algorithm
- privacy preservation
- matrix factorisation
- expectation maximisation
- maximum likelihood estimation
- gaussian mixture model
- clustering method
- data privacy
- gaussian mixture
- unsupervised learning
- finite mixture model
- hierarchical clustering
- density estimation
- privacy concerns
- sensitive information
- scalar product
- data perturbation
- private information
- privacy protection
- secure multiparty computation
- probabilistic model
- privacy sensitive
- document clustering
- social networking
- differential privacy
- high dimensional data
- pairwise
- bayesian networks
- feature selection
- probability density function
- original data
- network structure
- horizontally partitioned data
- machine learning