Uncertainty accompanies our life processes and covers almost all fields of scientific studies.
Two general categories of uncertainty, namely, aleatory uncertainty and epistemic …

Uncertain data have already widely existed in many practical applications recently, such as
sensor networks, RFID networks, location-based services, and mobile object management …

When dealing with massive quantities of data, top-k queries are a powerful technique for
returning only the k most relevant tuples for inspection, based on a scoring function. The …

The dramatic growth in the number of application domains that naturally generate
probabilistic, uncertain data has resulted in a need for efficiently supporting complex …

The development of information technology has enabled many different technologies to
collect large amounts of spatial data every day. It is of very great significance to discover …

Uncertain data are inherent in various important applications and reverse nearest neighbor
(RNN) query is an important query type for many applications. While many different types of …

Skyline computation is widely used in multi-criteria decision making. As research in
uncertain databases draws increasing attention, skyline queries with uncertain data have …

The problem of modeling and managing uncertain data has received a great deal of interest,
due to its manifold applications in spatial, temporal, multimedia and sensor databases …

The availability of indoor positioning renders it possible to deploy location-based services in
indoor spaces. Many such services will benefit from the efficient support for k nearest …

Nearest-neighbor search, which returns the nearest neighbor of a query point in a set of
points, is an important and widely studied problem in many fields, and it has a wide range of …