During the last decade, multimedia databases have become increasingly important in many
application areas such as medicine, CAD, geography, and molecular biology. An important …

k nearest neighbours (kNN) queries are fundamental in many applications, ranging from
data mining, recommendation system and Internet of Things, to Industry 4.0 framework …

Crowdsourcing is a computing paradigm where humans are actively involved in a
computing task, especially for tasks that are intrinsically easier for humans than for …

Spatial Databases is the first unified, in-depth treatment of special techniques for dealing
with spatial data, particularly in the field of geographic information systems (GIS). This book …

Publisher Summary Despite the importance of spatial networks in real-life applications, most
of the spatial database literature focuses on Euclidean spaces. This chapter proposes an …

A moving cluster is defined by a set of objects that move close to each other for a long time
interval. Real-life examples are a group of migrating animals, a convoy of cars moving in a …

Publisher Summary A continuous nearest neighbor query retrieves the nearest neighbor
(NN) of every point on a line segment. The result contains a set of tuples, such that point is …

Space support in databases poses new challenges in every part of a database management
system & the capability of spatial support in the physical layer is considered very important …

This work addresses a novel spatial keyword query called the m-closest keywords (mCK)
query. Given a database of spatial objects, each tuple is associated with some descriptive …

This paper addresses the problem of finding k nearest neighbors for moving query point (we
call it k-NNMP). It is an important issue in both mobile computing research and real-life …