TY - GEN
T1 - Demo Abstract
T2 - 16th ACM Conference on Embedded Networked Sensor Systems, SENSYS 2018
AU - Zhang, Zhiqiang
AU - Rao, Weixiong
AU - Di, Xiaolei
AU - Zhao, Peng
AU - Xu, Xiaofeng
AU - Abdesslem, Fehmi Ben
N1 - Publisher Copyright:
2018 Association for Computing Machinery.
PY - 2018/11/4
Y1 - 2018/11/4
N2 - GPS sensors have been widely used to track people’s everyday life trajectories, generating massive trajectory datasets. The trajectory data typically contains sparse GPS points, and completing trajectories is often necessary. State-of-the-art methods [3, 4] essentially complete the entire route by using a single metric, e.g., either the shortest distance or the fastest driving/walking time. Unfortunately, using a single metric may not always work in real life due to the diversity of mobility patterns. In this demo abstract, we propose a frequent pattern (FP)-based trajectory completion approach, and demonstrate a system prototype to showcase the advantages of our approach over four previous works, in terms of accuracy and running time.
AB - GPS sensors have been widely used to track people’s everyday life trajectories, generating massive trajectory datasets. The trajectory data typically contains sparse GPS points, and completing trajectories is often necessary. State-of-the-art methods [3, 4] essentially complete the entire route by using a single metric, e.g., either the shortest distance or the fastest driving/walking time. Unfortunately, using a single metric may not always work in real life due to the diversity of mobility patterns. In this demo abstract, we propose a frequent pattern (FP)-based trajectory completion approach, and demonstrate a system prototype to showcase the advantages of our approach over four previous works, in terms of accuracy and running time.
UR - http://www.scopus.com/inward/record.url?scp=85061738410&partnerID=8YFLogxK
U2 - 10.1145/3274783.3275158
DO - 10.1145/3274783.3275158
M3 - Conference contribution
AN - SCOPUS:85061738410
T3 - SenSys 2018 - Proceedings of the 16th Conference on Embedded Networked Sensor Systems
SP - 311
EP - 312
BT - SenSys 2018 - Proceedings of the 16th Conference on Embedded Networked Sensor Systems
PB - Association for Computing Machinery, Inc
Y2 - 4 November 2018 through 7 November 2018
ER -