In this paper, for the first time, we introduce the concept of Reverse Skyline Queries. At first, we consider for a multidimensional data set P the problem of dynamic skyline queries according to a query point q. This kind of dynamic skyline corresponds to the skyline of a transformed data space where point q becomes the origin and all points of P are represented by their distance vector to q. ...

Skyline Join approach in its Naïve age work as it computes join first and then apply skyline computation to find corresponding skyline objects. Considering increase in cardinality and dimensionality of join table the cost of computing skyline in a non-reductive join relation is costlier than that of on single table. Most of the existing work on skyline queries for databases mainly discusses the...

Skyline queries are important in many application domains. In this paper, we propose a novel structure Skyline Diagram, which given a set of points, partitions the plane into a set of regions, referred to as skyline polyominos. All query points in the same skyline polyomino have the same skyline query results. Similar to kth-order Voronoi diagram commonly used to facilitate k nearest neighbor (...

Abstract: Skyline, also known as Maxima in computational geometry or Pareto in business management field, is important for many applications involving multi-criteria decision making. The skyline of a set of multi-dimensional data points consists of the points for which no other point exists that is better in at least one dimension and at least as good in every other dimension. Although skyline ...

Efficient processing of skyline queries has been an area of growing interest over both static and stream environments. Most existing static and streaming techniques assume that the skyline query is applied to a single data source. Unfortunately, this is not true in many applications in which, due to the complexity of the schema, the skyline query may involve attributes belonging to multiple dat...

By leveraging the capabilities of modern GPS-equipped mobile devices providing social-networking services, the interest in developing advanced services that combine location-based services with social networking services is growing drastically. Based on geo-social networks that couple personal location information with personal social context information, such services are facilitated by geo-so...

Skyline queries have recently attracted a lot of attention for its intuitive query formulation. It can act as a filter to discard sub-optimal objects. However, a major drawback of skyline is that, in datasets with many dimensions, the number of skyline objects becomes large and no longer offer any interesting insights. To solve the problem, k-dominant skyline queries have been introduced, which...

Skyline evaluation techniques (also known as Pareto preference queries) follow a common paradigm that eliminates data elements by finding other elements in a data set that dominate them. Nowadays already a variety of sophisticated skyline evaluation techniques are known, hence skylines are considered a well researched area. On the other hand, the skyline operator does not stand alone in databas...

Given a multi-dimensional dataset of tuples, skyline computation returns a subset of tuples that are not dominated by any other tuples when all dimensions are considered together. Conventional skyline computation, however, is inadequate to answer various queries that need to analyze not just individual tuples of a dataset but also their combinations. In this paper, we study group skyline comput...

Skyline queries have recently attracted a lot of attention for its intuitive query formulation. It can act as a filter to discard sub-optimal objects. However, a major drawback of skyline is that, in datasets with many dimensions, the number of skyline objects becomes large and no longer offer any interesting insights. To solve the problem, recently k-dominant skyline queries have been introduc...