Skyline queries have been extensively incorporated in various contemporary database
applications. The list includes but is not limited to multi-criteria decision-making systems …

Processing skyline queries in incomplete data is challenging, particularly, for a database
with dynamic contents in which the database is frequently updated. These update …

Purpose The purpose of this paper is to address the need for new approaches in locating
items that closely match user preference criteria due to the rise in data volume of knowledge …

The availability of information and the increasing amount of information resulted in users
having difficulty getting objects based on their preferences. The main objective of this paper …

Associative classifiers are a family of classification techniques that use association rules to
classify a new instance. Many works were proposed in this context, with a focus on how to …

The article presents an algorithm to solve a problem of placing mobile users' queries (tasks
or software applications) on balanced virtual machines (VMs) on cloudlets located near …

Data on the Web is often pervaded with uncertainty. This is due to the openness of the Web
and variety of sources which makes reliability of collected data questionable. In this paper …

In this paper, we tackle the problem of multi-rules based classification for evidential data, ie,
data where imperfection is modeled through the Evidence theory. In this setting, a new …

Skyline queries have been widely used in a variety of modern database applications.
Multicriteria decision-making systems, decision support systems, and recommender systems …

Efficient access to data is an attractive topic because of the huge volume of nowadays
information. In case of uncertain data, the issue becomes more challenging, since such data …