A Window-based Algorithm for Skyline Queries

Jing Yu, Xin Liu, Guo-hua Liu
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引用次数: 3

Abstract

Given a set of points, the skyline comprises the points that are not dominated by other points. A point dominates another point if it is as good or better in all dimensions and better in at least one dimension. Skyline queries are important for several database applications, including customer information systems, decision support, and data visualization. In this paper we propose a window-based algorithm for skyline queries, which transforms skyline queries into many different dynamic window queries. Though the first window query we get the first skyline point, then we only need to search the points in the valid region we defined, so it is not necessary to retrieve all the points in the space and prune query space effectively and significantly. The window queries only visit the possible skyline points, and only visit each point once, the number of the accessed data points decreases significantly, the query result is sound and complete.
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基于窗口的Skyline查询算法
给定一组点,天际线由不受其他点支配的点组成。如果一个点在所有维度上都一样好或更好,并且至少在一个维度上更好,那么它就优于另一个点。Skyline查询对于一些数据库应用程序非常重要,包括客户信息系统、决策支持和数据可视化。本文提出了一种基于窗口的天际线查询算法,该算法将天际线查询转换为多种不同的动态窗口查询。虽然第一个窗口查询得到了第一个天际线点,但我们只需要搜索我们定义的有效区域内的点,因此不需要检索空间中的所有点,也不需要对查询空间进行有效而显著的修剪。窗口查询只访问可能的天际线点,并且每个点只访问一次,访问的数据点数量明显减少,查询结果健全完整。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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