What is skyline computation?

 Skyline computation focuses on the tuples in databases, where there will be multiple attributes, instead of dimensions. Page 9. Related Problems.  Pareto Set.

1. How is a skyline calculated?
2. What is skyline of a dataset?
3. What is skyline query?
4. Which is skyline operator?
5. What is the skyline problem?

How is a skyline calculated?

We compute the skyline by finding the points where there is no point that is better on both (all) dimensions, and joining them. The points that define this skyline are a, i, and k. Here's another example.

What is skyline of a dataset?

The concept of the skyline was proposed for the first time by Borzsonyi et al. (2001). They defined the skyline as a set of points which are not dominated by any other points in the dataset. ... A point is said to dominate other points when it is better on at least one dimension than the other points.

What is skyline query?

Given a dominance relationship in a dataset, a skyline query returns the objects that cannot be dominated by any other objects. Skyline queries were studied extensively in multidimensional spaces, in subspaces, in metric spaces, in dynamic spaces, in streaming environments, and in time-series data.

Which is skyline operator?

From Wikipedia, the free encyclopedia. The skyline operator is the subject of an optimization problem, used in a query to filter results from a database to keep only those objects that are not worse than any other. This operator is an extension to SQL proposed by Börzsönyi et al.

What is the skyline problem?

In the skyline problem, the user is provided with the coordinates of rectangular buildings that have varying widths and heights. The user is required to return a silhouette that traces the outlines of all the buildings. ... The user is given the coordinates of various overlapping buildings.