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 …

Skyline is a primitive operation in multi-objective decision applications and there is a
growing demand to support such operations over a data federation, where the entire dataset …

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 …

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 …

Given a setS of multidimensional objects and a query object q, ak nearest neighbor (kNN)
query finds from S the k closest objects to q. This query is a fundamental problem in …

Nowadays, efficient and effective processing over massive stream data has attracted much
attention from the database community, which are useful in many real applications such as …

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

Skyline queries have been widely used as an attractive operator in multi-criteria decision
making applications. Because of the intuitive notion of skyline queries, many skyline …

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 …

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 …