论文标题
比较从Top-K和Skyline查询开始查询数据的现代技术
Comparing modern techniques for querying data starting from top-k and skyline queries
论文作者
论文摘要
通过发现一组有趣的选项来对复杂数据做出明智的决策，这对于现代应用程序的用户来说已经非常重要。因此，研究人员正在研究新技术，以克服从数据库中查询数据库中的数据库和天际线查询的传统方式的局限性。在过去的几年中，新方法被开发为灵活的天际线，遗憾的最小化和天际线订购/排名。这项调查的目的是描述这些技术及其对它们进行比较并解释它们如何改善传统方法的可能性。
To make intelligent decisions over complex data by discovering a set of interesting options is something that has become very important for users of modern applications. Consequently, researchers are studying new techniques to overcome limitations of traditional ways of querying data from databases as top-k queries and skyline queries. Over the past few years new methods have been developed as Flexible Skylines, Regret Minimization and Skyline ordering/ranking. The aim of this survey is to describe these techniques and some their possible variants comparing them and explaining how they improve traditional methods.
