The top-k dominating (TKD) query returns the k objects that dominate the maximum number
of objects in a given dataset. It combines the advantages of skyline and top-k queries, and …

To extract meaningful and non-negligible facts from large amounts of data for the extraction
of patterns, anomalies, and correspondence information from large databases, data mining …

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 …

Effectively extracting reliable and trustworthy information from Big Data has become crucial
for large business enterprises. Obtaining useful knowledge to enable better decisions to be …

Top-k dominating (TKD) query retrieves the top k items that dominate other objects in the
dataset. This is a key decision-making tool for any organization since it allows data analysts …

A top-k dominating query returns k data objects that dominate the highest number of data
objects in a given dataset. This query provides us with a set of intuitively preferred data, thus …

Top-k dominating (TKD) query returns the top-k data items in a dataset that dominate other
objects. This is an important decision-making tool for any business organizations because it …

For a given multi-dimensional data set, a group skyline query returns the optimal groups not
dominated by any other group of equal size. The group skyline query is a powerful tool in …

Uncertainty of data is inherent in many important applications. Effectively extracting valuable
information to enable better decisions is important but not a trivial task over uncertain data …

Strings in the real world are often encoded with some level of uncertainty. In the character-
level uncertainty model, an uncertain string $ X $ of length $ n $ on an alphabet $\Sigma $ is …