Privacy-Preserving Clustering to Uphold Business Collaboration: A Dimensionality Reduction Based Transformation Approach.
Stanley R. M. OliveiraOsmar R. ZaïanePublished in: Int. J. Inf. Secur. Priv. (2007)
Keyphrases
- privacy preserving
- dimensionality reduction
- data transformation
- privacy preserving data mining
- privacy preservation
- high dimensional data
- data points
- high dimensionality
- multi party
- vertically partitioned data
- knowledge management
- high dimensional
- privacy concerns
- low dimensional
- sensitive information
- random projections
- private information
- data privacy
- private data
- information systems
- feature extraction
- business processes
- privacy protection
- business intelligence
- privacy preserving association rule mining
- nearest neighbor
- privacy sensitive
- partitioned data
- data mining
- differential privacy
- data quality
- horizontally partitioned data
- data perturbation
- pattern recognition
- principal component analysis
- privacy issues
- feature selection
- privacy requirements
- preserving privacy
- data analysis
- feature space
- privacy preserving classification
- secure multiparty computation
- sensitive data
- knowledge discovery
- dimension reduction