An improved privacy-preserving data mining technique using singular value decomposition with three-dimensional rotation data perturbation.
N. V. KousikK. PremalathaPublished in: J. Supercomput. (2021)
Keyphrases
- singular value decomposition
- data perturbation
- data mining techniques
- privacy preserving
- privacy preserving data mining
- data warehouse
- data mining
- cluster analysis
- privacy preservation
- data privacy
- knowledge discovery
- least squares
- association rules
- dimension reduction
- data mining algorithms
- dimensionality reduction
- statistical databases
- principal component analysis
- secure multiparty computation
- privacy concerns
- sensitive information
- privacy protection
- pattern recognition
- private information
- k means
- privacy guarantees
- real world
- intrusion detection
- data management
- feature extraction