63 search results - page 1 / 13 » Finding k-dominant skylines in high dimensional space |
SIGMOD
2006
ACM
14 years 4 months ago
2006
ACM
Given a d-dimensional data set, a point p dominates another point q if it is better than or equal to q in all dimensions and better than q in at least one dimension. A point is a ...
EDBT
2006
ACM
14 years 4 months ago
2006
ACM
In many decision-making applications, the skyline query is frequently used to find a set of dominating data points (called skyline points) in a multidimensional dataset. In a high-...
SIGMOD
2009
ACM
14 years 4 months ago
2009
ACM
The skyline operator returns from a set of multi-dimensional objects a subset of superior objects that are not dominated by others. This operation is considered very important in ...
VLDB
2007
ACM
14 years 4 months ago
2007
ACM
Current skyline evaluation techniques follow a common paradigm that eliminates data elements from skyline consideration by finding other elements in the dataset that dominate them...
SIGMOD
2000
ACM
13 years 9 months ago
2000
ACM
High dimensional data has always been a challenge for clustering algorithms because of the inherent sparsity of the points. Recent research results indicate that in high dimension...