Towards Secure Approximate ${k}$ -Nearest Neighbor Query Over Encrypted High-Dimensional Data.
Yanguo PengHui LiJiangtao CuiJianfeng MaYingfan LiuPublished in: IEEE Access (2018)
Keyphrases
- high dimensional data
- k nearest neighbor
- nearest neighbor
- distance computation
- knn
- spatial queries
- query point
- similarity search
- subspace clustering
- dimensionality reduction
- input space
- distance function
- data points
- range queries
- high dimensional
- knn classifier
- low dimensional
- data sets
- high dimensional spaces
- support vector machine svm
- linear discriminant analysis
- text categorization
- data distribution
- manifold learning
- database
- query processing
- dimensional data
- indexing techniques
- nearest neighbor search
- similarity queries
- clustering high dimensional data
- neural network
- nonlinear dimensionality reduction
- subspace learning
- data analysis
- training set
- similarity measure
- variable selection
- face recognition
- image processing
- metric space
- locally linear embedding
- feature selection
- image data
- index structure
- multi dimensional