Mining GPS data for mobility patterns: A survey
M Lin, WJ Hsu - Pervasive and mobile computing, 2014 - Elsevier
With the help of various positioning tools, individuals' mobility behaviors are being
continuously captured from mobile phones, wireless networking devices and GPS …
continuously captured from mobile phones, wireless networking devices and GPS …
[PDF][PDF] The new casper: Query processing for location services without compromising privacy
This paper tackles a major privacy concern in current location-based services where users
have to continuously report their locations to the database server in order to obtain the …
have to continuously report their locations to the database server in order to obtain the …
On discovery of gathering patterns from trajectories
The increasing pervasiveness of location-acquisition technologies has enabled collection of
huge amount of trajectories for almost any kind of moving objects. Discovering useful …
huge amount of trajectories for almost any kind of moving objects. Discovering useful …
Online discovery of gathering patterns over trajectories
The increasing pervasiveness of location-acquisition technologies has enabled collection of
huge amount of trajectories for almost any kind of moving objects. Discovering useful …
huge amount of trajectories for almost any kind of moving objects. Discovering useful …
User-defined privacy grid system for continuous location-based services
Location-based services (LBS) require users to continuously report their location to a
potentially untrusted server to obtain services based on their location, which can expose …
potentially untrusted server to obtain services based on their location, which can expose …
BerlinMOD: a benchmark for moving object databases
C Düntgen, T Behr, RH Güting - The VLDB Journal, 2009 - Springer
This document presents a method to design scalable and representative moving object data
(MOD) and two sets of queries for benchmarking spatio-temporal DBMS. Instead of …
(MOD) and two sets of queries for benchmarking spatio-temporal DBMS. Instead of …
Path prediction and predictive range querying in road network databases
In automotive applications, movement-path prediction enables the delivery of predictive and
relevant services to drivers, eg, reporting traffic conditions and gas stations along the route …
relevant services to drivers, eg, reporting traffic conditions and gas stations along the route …
Predicting mobile users' next location using the semantically enriched geo-embedding model and the multilayer attention mechanism
Predicting the next location of human mobility and its semantic information can support
recommendations for location-based services and trajectory mining, such as human mobility …
recommendations for location-based services and trajectory mining, such as human mobility …
Solving the data sparsity problem in destination prediction
Destination prediction is an essential task for many emerging location-based applications
such as recommending sightseeing places and targeted advertising according to …
such as recommending sightseeing places and targeted advertising according to …
Detecting urban black holes based on human mobility data
Many types of human mobility data, such as flows of taxicabs, card swiping data of subways,
bike trip data and Call Details Records (CDR), can be modeled by a Spatio-Temporal Graph …
bike trip data and Call Details Records (CDR), can be modeled by a Spatio-Temporal Graph …