The skyline query is frequently used to find a set of dominating data called skyline groups dataset. In high-dimensional space skyline groups. We introduce a novel metric algorithm techniques called skyline frequency on output compression, input prune, and search space prune to address the problem. For search space pruning, we identified a number of anti-monotonic properties to efficiently remove non-skyline groups. we develop dynamic programming and iterative algorithms for skyline group search. These algorithms achieve orders of magnitude performance gain over the baseline method.
