4.7 Article

Skyline Diagram: Efficient Space Partitioning for Skyline Queries

期刊

出版社

IEEE COMPUTER SOC
DOI: 10.1109/TKDE.2019.2923914

关键词

Skyline; voronoi; diagram; queries

资金

  1. NSF [IIS-1838200, CNS-1618932]

向作者/读者索取更多资源

In this paper, a novel structure called the Skyline Diagram is proposed for partitioning the plane based on a set of points. Efficient algorithms are presented for building the diagram to accommodate various types of skyline queries. Experimental results demonstrate the efficiency and scalability of the algorithms proposed in this paper.
Skyline queries are important in many application domains. In this paper, we propose a novel structure Skyline Diagram, which given a set of points, partitions the plane into a set of regions, referred to as skyline polyominos. All query points in the same skyline polyomino have the same skyline query results. Similar to kth-order Voronoi diagram commonly used to facilitate k nearest neighbor (kNN) queries, skyline diagram can be used to facilitate skyline queries and many other applications. However, it may be computationally expensive to build the skyline diagram. By exploiting some interesting properties of skyline, we present several efficient algorithms for building the diagram with respect to three kinds of skyline queries, quadrant, global, and dynamic skylines. In addition, we propose an approximate skyline diagram which can significantly reduce the space cost. Experimental results on both real and synthetic datasets show that our algorithms are efficient and scalable.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据