A Clustering-Based Bipartite Graph Privacy-Preserving Approach for Sharing High-Dimensional Data.
Lie WangXianxian LiPublished in: Int. J. Softw. Eng. Knowl. Eng. (2014)
Keyphrases
- high dimensional data
- privacy preserving
- bipartite graph
- dimensionality reduction
- nearest neighbor
- privacy preservation
- high dimensional
- vertically partitioned data
- low dimensional
- privacy preserving data mining
- data sets
- data analysis
- similarity search
- original data
- data points
- subspace clustering
- high dimensionality
- private information
- link prediction
- dimension reduction
- sensitive information
- sparse representation
- linear discriminant analysis
- information sharing
- data privacy
- data sharing
- neural network
- data distribution
- feature extraction
- differential privacy
- principal component analysis
- privacy concerns
- pattern recognition
- social networks