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» Time-focused clustering of trajectories of moving objects
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SSD
2005
Springer
173views Database» more  SSD 2005»
13 years 11 months ago
On Discovering Moving Clusters in Spatio-temporal Data
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 movin...
Panos Kalnis, Nikos Mamoulis, Spiridon Bakiras
ER
2005
Springer
295views Database» more  ER 2005»
13 years 11 months ago
Spatio-temporal Similarity Analysis Between Trajectories on Road Networks
Abstract. In order to analyze the behavior of moving objects, a measure for determining the similarity of trajectories needs to be defined. Although research has been conducted th...
Jung-Rae Hwang, Hye-Young Kang, Ki-Joune Li
DASFAA
2010
IEEE
419views Database» more  DASFAA 2010»
14 years 27 days ago
Incremental Clustering for Trajectories
Trajectory clustering has played a crucial role in data analysis since it reveals underlying trends of moving objects. Due to their sequential nature, trajectory data are often rec...
Zhenhui Li, Jae-Gil Lee, Xiaolei Li, Jiawei Han
SUTC
2006
IEEE
14 years 1 days ago
DTTC: Delay-Tolerant Trajectory Compression for Object Tracking Sensor Networks
Taking advantage of the delay tolerance for objects tracking sensor networks, we propose delay-tolerant trajectory compression (DTTC) technique, an efficient and accurate algorit...
Yingqi Xu, Wang-Chien Lee
DKE
2010
167views more  DKE 2010»
13 years 3 months ago
Discovering private trajectories using background information
Trajectories are spatio-temporal traces of moving objects which contain valuable information to be harvested by spatio-temporal data mining techniques. Applications like city traf...
Emre Kaplan, Thomas Brochmann Pedersen, Erkay Sava...