The popularization of mobile communication devices and location technology has spurred
the increasing demand for location-based services (LBSs). While enjoying the convenience …

Abstract Extreme Learning Machine (ELM) is a popular machine learning method which can
flexibly simulate the relationships of real-world classification applications. When facing …

Sensor–cloud has gained increasingly popularity since it bridges the physical world and the
cyber world through pervasive computation. This paper focuses on secure and verifiable k …

Abstract k nearest neighbor (k NN) queries are frequently used in location-based services
(LBSs), by which we wish to get k closest points of interest (POIs) given a certain point. Since …

Location-based services (LBSs) have been becoming more common due to the prevalence
of GPS-enabled devices. While LBSs bring many benefits for our daily lives, location …

Real spatial data, eg, detailed road networks, rivers, buildings, parks, are not easily
available for most of the world. This hinders the practicality of many research ideas that need …

Spurred by the development of cloud computing, there has been considerable recent
interest in the Database-as-a-Service (DaaS) paradigm. Users lacking in expertise or …

Data outsourcing is a promising technical paradigm to facilitate cost-effective real-time data
storage, processing, and dissemination. In data outsourcing, a data owner proactively …

The proliferation of geo-positioning technologies boosts the prevalence of GPS-enabled
devices, and thus many spatial-textual objects that possess both text descriptions and geo …

With the proliferation of mobile devices and wireless technologies, location based services
(LBSs) are becoming popular in smart cities. Two important classes of LBSs are Nearest …