论文标题
泊松的CDF应用于柔性天际线
Poisson's CDF applied to Flexible Skylines
论文作者
论文摘要
天际线和排名查询的演变创建了新的原型，例如灵活的天际线，这被证明是使用多目标优化从大数据集中选择相关数据的有效方法。本文旨在研究泊松分布质量函数作为灵活的天际线过程中的单调评分功能的可能应用，尤其是那些具有模式的属性可以转化为持续平均速率的模式。此外，将使用f [1]中的参数变化提出一种通过F [1]的f [1]提出的用户来表达用户需求的方法，同时将研究算法构造和潜在的应用。
The evolution of skyline and ranking queries has created new archetypes like flexible skylines, which have proven to be an efficient method to select relevant data from large datasets using multi objective optimization. This paper aims to study the possible applications of Poisson distribution mass function as a monotonic scoring function in flexible skyline processes, especially those featuring schemas whose attributes can be translated to constant mean rates. Moreover, a method to express users's requirement by means of the F-dominant set of tuples will be proposed using parametrical variations in F[1], simultaneously, algorithm construction and potential applications will be studied.
