泊松CDF适用于柔性天际线
Poisson's CDF applied to Flexible Skylines
摘要：
skyline和排名查询的发展创造了新的原型，如灵活的skyline，这已被证明是一种使用多目标优化从大型数据集中选择相关数据的有效方法。本文旨在研究Poisson分布质量函数作为单调评分函数在灵活Skyline过程中的可能应用，特别是那些属性可以转换为常数平均速率的模式。此外，利用F[1]中的参数变化，提出了一种用F-支配元组集表示用户需求的方法，同时研究了算法构造和潜在的应用。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
