Living in the Information Age allows almost everyone have access to a large amount of
information and options to choose from in order to fulfill their needs. In many cases, the …

With the continued deployment of the Internet of Things (IoT), increasing volumes of devices
are being deployed that emit massive spatially referenced data. Due in part to the dynamic …

Skyline queries are a popular way to obtain preferred answers from the database by
providing only the orderings of attribute values. The result of a skyline query consists of …

We address the problem of choosing the best paths among a set of candidate paths
between the same origin–destination pair. This functionality is used extensively when …

In many real-world applications, bipartite graphs are naturally used to model relationships
between two types of entities. Community discovery over bipartite graphs is a fundamental …

The skyline operator has been extensively explored in the literature, and most of the existing
approaches assume that all dimensions are available for all data items. However, many …

The skyline of a data point set is made up of the best points in the set, and is very important
for multi-criteria decision making. In these years, the skyline problem attracts more and more …

The widespread proliferation of location-acquisition techniques and GPS-embedded mobile
devices have resulted in the generation of geo-tagged data at unprecedented scale and …

Skyline is a set of points that are not dominated by any other point. Given uncertain objects,
probabilistic skyline has been studied which computes objects with high probability of being …

In a probabilistic database, deciding if a tuple u is better than another tuple v has not a
univocal solution, rather it depends on the specific Probabilistic Ranking Semantics (PRS) …