Continuous Possible K-Nearest Skyline Query in Euclidean Spaces.
Yuan-Ko HuangZong-Han HeChiang LeeWu-Hsiu KuoPublished in: ICPADS (2013)
Keyphrases
- euclidean space
- k nearest
- metric space
- skyline queries
- query point
- skyline computation
- data points
- knn
- distance function
- nearest neighbor
- k nearest neighbor
- similarity search
- shape analysis
- vector space
- riemannian manifolds
- euclidean distance
- data distribution
- low dimensional
- nearest neighbor search
- nearest neighbor algorithm
- distributed environment
- high dimensional
- skyline points
- range queries
- location based services
- training set
- input data
- pairwise
- data objects
- point sets
- neural network
- high dimensional data