DeepAI AI Chat
Log In Sign Up

Understanding the compromise between skyline and ranking queries

by   Marco Tonnarelli, et al.

Skyline and Ranking queries have gained great popularity in the recent years. These two techniques are crucial for multi-criteria decision support applications, which are now more popular than ever before. Skyline and Ranking queries are, however, affected by well-known limitations. In the past recent years, the database community provided numerous studies in this field with the aim to overcome the weaknesses of these two approaches. This survey introduces the reader to Skyline and Ranking queries, explaining the concepts on which they are based, with the intent to present the compromise between the two techniques: flexible skylines.


page 1

page 2

page 3

page 4


A Skyline and ranking query odissey: a journey from skyline and ranking queries up to f-skyline queries

Skyline and ranking queries are two of the most used tools to manage lar...

Counting stars: a survey on flexible Skyline Query approaches

Nowadays, as the quantity of data to process began to rise, so did the n...

Comparing modern techniques for querying data starting from top-k and skyline queries

To make intelligent decisions over complex data by discovering a set of ...

Getting the best from skylines and top-k queries

Top-k and skylines are two important techniques that can be used to extr...

Comparing Flexible Skylines And Top-k Queries: Which Is the Best Alternative?

The question of how to get the best results out of the data we have is a...

Weighing the techniques for data optimization in a database

A set of preferred records can be obtained from a large database in a mu...