With the flourishing of ubiquitous healthcare and cloud computing technologies, medical
primary diagnosis system, which forms a critical capability to link big data analysis …

Due to the pervasiveness of incomplete data, incomplete data queries are vital in a large
number of real-life scenarios. Current models and approaches for incomplete data queries …

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

The skyline query is important in the database community. In recent years, the researches
on incomplete data have been increasingly considered, especially for the skyline query …

Given the significance of skyline queries, they are incorporated in various modern
applications including personalized recommendation systems as well as decision-making …

Incomplete skyline query is an important operation to filter out pareto-optimal tuples on
incomplete data. It is harder than skyline due to intransitivity and cyclic dominance. It is …

The skyline query has been extensively explored as one of popular techniques to filter
uninteresting data objects, which plays an important role in many real-life applications such …

Pawlak's rough membership functions not only give numerical characterizations of Pawlak's
rough set approximations, but also establishes the relationships between Pawlak's rough …

In many contemporary database applications such as multi-criteria decision-making and real-
time decision-support applications, data mining, ecommerce and recommendation systems …

Skyline queries rely on the notion of Pareto dominance, filter the data items by keeping only
those data items that are the best, most preferred, also known as skylines, from a database …