Computing closed skycubes

TL;DR: This paper introduces a novel approach significantly reducing domination tests for a given subspace and the number of subspaces searched, and introduces two closure operators that enable a concise representation of skyline cubes.

Abstract: In this paper, we tackle the problem of efficient skycube computation. We introduce a novel approach significantly reducing domination tests for a given subspace and the number of subspaces searched. Technically, we identify two types of skyline points that can be directly derived without using any domination tests. Moreover, based on formal concept analysis, we introduce two closure operators that enable a concise representation of skyline cubes. We show that this concise representation is easy to compute and develop an efficient algorithm, which only needs to search a small portion of the huge search space. We show with empirical results the merits of our approach.