Incomplete data accompanies our life processes and covers almost all fields of scientific
studies, as a result of delivery failure, no power of battery, accidental loss, etc. However, how …

Due to the ubiquity of missing data, data imputation has received extensive attention in the
past decades. It is a well-recognized problem impacting almost all fields of scientific study …

Data have significant economic or social value in many application fields including science,
business, governance, etc. This naturally leads to the emergence of many data markets such …

Incomplete data is one major kind of multi-dimensional dataset that has random-distributed
missing nodes in its dimensions. It is very difficult to retrieve information from this type of …

The top-k dominating (TKD) query on skyline groups returns k skyline groups that dominate
the maximum number of points in a given data set. The TKD query combines the advantages …

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 …

The G-Skyline (GSky) query is a powerful tool to analyze optimal groups in decision support.
Compared with other group skyline queries, it releases users from providing an aggregate …

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

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 …

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 …