Generic Probability Density Function Reconstruction for Randomization in Privacy-Preserving Data Mining.
Vincent Yan Fu TanSee-Kiong NgPublished in: MLDM (2007)
Keyphrases
- probability density function
- privacy preserving data mining
- privacy preserving
- data perturbation
- data privacy
- probability distribution
- bayesian framework
- data mining
- image reconstruction
- random projections
- mixture model
- privacy concerns
- gaussian mixture model
- low dimensional
- expectation maximization
- em algorithm
- statistical databases
- statistical methods
- computer vision
- data mining techniques
- information retrieval
- generative model
- distance function
- neural network
- text mining
- feature vectors
- similarity measure
- feature selection
- real world