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知网期刊论文(2184)
在“
Elsevier电子期刊
”中,
命中:
70
条,耗时:0.1199427 秒
在所有数据库中总计命中:
2,900
条
1.
An efficient
data
processing framework for
mining
the massive
trajectory
of moving objects
作者:
Yuanchun Zhou
a
;
1
;
Yang Zhang
a
;
1
;
Yong Ge
b
;
Zhenghua Xue
a
;
Yanjie Fu
c
;
Danhuai Guo
a
;
Jing Shao
a
;
Tiangang Zhu
a
;
Xuezhi Wang
a
;
Jianhui Li
a
;
lijh@cnic.cn
关键词:
Big
data
;
Trajectory
of moving object
;
Compression contribution model
;
Parallel linear referencing
;
Two step consistent hashing
刊名:Computers, Environment and Urban Systems
出版年:2017
2.
MyWay: Location prediction via mobility profiling
作者:
R. Trasarti
a
;
trasarti@isti.cnr.it
;
R. Guidotti
b
;
a
;
guidotti@di.unipi.it
;
A. Monreale
b
;
a
;
annam@di.unipi.it
;
F. Giannotti
a
;
giannotti@isti.cnr.it
关键词:
Trajectory
prediction
;
Spatio-temporal
;
Data
mining
刊名:Information Systems
出版年:2017
3.
The discovery of personally semantic places based on
trajectory
data
mining
作者:
Mingqi Lv
a
;
b
;
mingqilv@zjut.edu.cn" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Ling Chen
b
;
lingchen@cs.zju.edu.cn" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Zhenxing Xu
b
;
xuzhenxing2010@163.com" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Yinglong Li
a
;
liyinglong@zjut.edu.cn" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Gencai Chen
b
;
chengc@zju.edu.cn" class="auth_mail" title="E-mail the corresponding author
Author Vitae
关键词:
Trajectory
data
mining
;
Place extraction
;
Place recognition
;
Location-aware computing
刊名:Neurocomputing
出版年:2016
4.
Detecting avoidance behaviors between moving object trajectories
作者:
Francesco Lettich
a
;
lettich@dais.unive.it" class="auth_mail" title="E-mail the corresponding author
;
Luis Otavio Alvares
b
;
luis.alvares@ufsc.br" class="auth_mail" title="E-mail the corresponding author
;
Vania Bogorny
b
;
vania.bogorny@ufsc.br" class="auth_mail" title="E-mail the corresponding author
;
Salvatore Orlando
a
;
orlando@unive.it" class="auth_mail" title="E-mail the corresponding author
;
Alessandra Raffaetà
;
a
;
raffaeta@unive.it" class="auth_mail" title="E-mail the corresponding author
;
Claudio Silvestri
a
;
silvestri@unive.it" class="auth_mail" title="E-mail the corresponding author
关键词:
Trajectory
avoidance detection
;
Spatio-temporal
data
analysis
;
Trajectory
data
mining
;
Moving object behavior analysis
刊名:
Data
& Knowledge Engineering
出版年:2016
5.
Mining
human mobility patterns from social geo-tagged
data
作者:
Carmela Comito
a
;
comito@icar.cnr.it
;
Deborah Falcone
b
;
dfalcone@dimes.unical.it
;
Domenico Talia
b
;
talia@dimes.unical.it
关键词:
Trajectory
pattern
mining
;
Geo-social
data
;
Human mobility
刊名:Pervasive and Mobile Computing
出版年:2016
6.
Mining
urban recurrent congestion evolution patterns from GPS-equipped vehicle mobility
data
作者:
Shi An
anshi@hit.edu.cn" class="auth_mail" title="E-mail the corresponding author
;
Haiqiang Yang
haiqiang.yang@hotmail.com" class="auth_mail" title="E-mail the corresponding author
;
Jian Wang
;
wang_jian@hit.edu.cn" class="auth_mail" title="E-mail the corresponding author
;
Na Cui
cuina1231@gmail.com" class="auth_mail" title="E-mail the corresponding author
;
Jianxun Cui
cuijianxun@hit.edu.cn" class="auth_mail" title="E-mail the corresponding author
关键词:
Urban road network
;
Recurrent congestion
;
Congestion evolution pattern
;
GPS
trajectory
data
;
Taxi
刊名:Information Sciences
出版年:2016
7.
Efficient
mining
of platoon patterns in
trajectory
data
bases
作者:
Yuxuan Li
;
yuxuan.li@unimelb.edu.au" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
James Bailey
baileyj@unimelb.edu.au" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Lars Kulik
lkulik@unimelb.edu.au" class="auth_mail" title="E-mail the corresponding author
Author Vitae
关键词:
Spatial clustering
;
Trajectory
data
base
;
Moving object cluster
;
Spatial pattern
mining
;
Data
mining
刊名:
Data
& Knowledge Engineering
出版年:2015
8.
Mining
preserving structures in a graph sequence
作者:
Takeaki Uno
a
;
uno@nii.jp
;
Yushi Uno
b
;
uno@mi.s.osakafu-u.ac.jp
关键词:
Data
mining
;
Enumeration
;
Graph sequence
;
Polynomial delay
;
Preserving structure
;
Structure
mining
;
Trajectory
mining
刊名:Theoretical Computer Science
出版年:2016
9.
Identifying K Primary Corridors from urban bicycle GPS trajectories on a road network
作者:
Zhe Jiang
;
zhe@cs.umn.edu" class="auth_mail" title="E-mail the corresponding author
;
Michael Evans
mevans@cs.umn.edu" class="auth_mail" title="E-mail the corresponding author
;
Dev Oliver
dev@cs.umn.edu" class="auth_mail" title="E-mail the corresponding author
;
Shashi Shekhar
shekhar@cs.umn.edu" class="auth_mail" title="E-mail the corresponding author
关键词:
Spatial
data
mining
;
Urban
data
mining
;
GPS
trajectory
;
Road network
;
Network Hausdorff distance
;
Lower bound filtering
;
Bicycle primary corridors
刊名:Information Systems
出版年:2016
10.
An approach to compute user similarity for GPS applications
作者:
Pramit Mazumdar
;
a
;
pramitmazumdar@gmail.com" class="auth_mail" title="E-mail the corresponding author
;
Bidyut Kr. Patra
a
;
Russell Lock
b
;
Sathya Babu Korra
a
关键词:
GPS
data
;
User similarity
;
Semantic location
;
Trajectory
pattern
mining
刊名:Knowledge-Based Systems
出版年:2016
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