Anonymized noise addition in subspaces for privacy preserved data mining in high dimensional continuous data.
Shashidhar VirupakshaVenkatesulu DondetiPublished in: Peer-to-Peer Netw. Appl. (2021)
Keyphrases
- continuous data
- high dimensional
- discrete data
- data mining
- privacy preservation
- privacy preserving
- privacy preserving data mining
- low dimensional
- high dimensional data
- noisy data
- mining data streams
- private information
- sensitive information
- privacy protection
- anonymized data
- dimensionality reduction
- continuous attributes
- data streams
- information loss
- data points
- data publishing
- feature space
- social network data
- data privacy
- tree leaves
- categorical data
- high dimensionality
- similarity search
- association rules
- machine learning
- variable selection
- cluster analysis
- rough sets
- knowledge discovery
- privacy concerns
- differential privacy
- fuzzy logic
- probabilistic xml
- feature selection
- neural network