Focus on movement data has increased as a consequence of the larger availability of such
data due to current GPS, GSM, RFID, and sensors techniques. In parallel, interest in …

In this paper, we propose a simple but effective image prior-dark channel prior to remove
haze from a single input image. The dark channel prior is a kind of statistics of outdoor haze …

Moving point object data can be analyzed through the discovery of patterns. We consider the
computational efficiency of computing two of the most basic spatio-temporal patterns in …

In this article, we present a new privacy-aware query processing framework, Capser*, in
which mobile and stationary users can obtain snapshot and/or continuous location-based …

Real-world road-planning applications often result in the formulation of new variations of the
nearest neighbor (NN) problem requiring new solutions. In this paper, we study an …

In step with the rapidly growing volumes of available moving-object trajectory data, there is
also an increasing need for techniques that enable the analysis of trajectories. Such …

Spatial data mining is an active topic in spatial databases. This paper proposes a new
clustering method for moving object trajectories databases. It applies specifically to …

Mixed-drove spatio-temporal co-occurrence patterns (MDCOPs) represent subsets of two or
more different object-types whose instances are often located in spatial and temporal …

Due to the proliferation of GPS-enabled devices in vehicles or with people, large amounts of
position data are recorded every day and the management of such mobility data, also called …

In this paper, we focus the attention on the operator placement problem in Wireless Sensor
Networks (WSN). This problem is very relevant for in-network query processing over WSN …