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 …

In many applications, top-k dominating query is an important operation to return k tuples with
the highest domination scores in a potentially huge data space. It is analyzed that the …

The dominance scoring problem in a multidimensional dataset is to return the number of
points dominated by a given point, which is a common metric for evaluating the quality of a …

The increasing volume of uncertain data has resulted in a dire need for supporting efficient
uncertain data management. The skyline query as an important aspect of data management …

A top-k dominating query returns the k objects dominating the maximum number of objects
in a given dataset. It combines the advantages of skyline queries and top-k queries, and …

Top-k dominance (TKD) query for incomplete datasets is a popular preference query for
incomplete data, which analyzes the dominance relationships among objects in a dataset by …

In this paper, we provide a novel approach that enables the execution of top-k join queries
over sliding windows in a way that reduces the amount of data that need to be analyzed by …

Top-k dominating queries, which return the k best items with a comprehensive “goodness”
criterion based on dominance, have attracted considerable attention recently due to its …

Uncertain, imprecise and noisy data arise in a number of domains including sensor
networks and data integration. Skyline analysis is a powerful tool in a wide spectrum of real …

The global skyline, as an important variant of the skyline, has been widely applied in multi-
criteria decision making, business planning and data mining. In this paper, we extend our …