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» On-Line Mobility Pattern Discovering using Trajectory Data
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SSDBM
2006
IEEE
140views Database» more  SSDBM 2006»
13 years 11 months ago
A Dynamic Mobility Histogram Construction Method Based on Markov Chains
With the recent progress of spatial information technologies and communication technologies, it has become easier to track positions of a large number of moving objects in real-ti...
Yoshiharu Ishikawa, Yoji Machida, Hiroyuki Kitagaw...
DEXA
2003
Springer
115views Database» more  DEXA 2003»
13 years 11 months ago
On Mining Group Patterns of Mobile Users
In this paper, we present a group pattern mining approach to derive the grouping information of mobile device users based on the spatio-temporal distances among them. Group pattern...
Yida Wang, Ee-Peng Lim, San-Yih Hwang
KDD
2004
ACM
168views Data Mining» more  KDD 2004»
14 years 6 months ago
Mining, indexing, and querying historical spatiotemporal data
In many applications that track and analyze spatiotemporal data, movements obey periodic patterns; the objects follow the same routes (approximately) over regular time intervals. ...
Nikos Mamoulis, Huiping Cao, George Kollios, Mario...
GIS
2007
ACM
13 years 11 months ago
Predicting future locations using clusters' centroids
As technology advances we encounter more available data on moving objects, thus increasing our ability to mine spatiotemporal data. We can use this data for learning moving object...
Sigal Elnekave, Mark Last, Oded Maimon
SDM
2011
SIAM
223views Data Mining» more  SDM 2011»
12 years 8 months ago
Characterizing Uncertain Data using Compression
Motivated by sensor networks, mobility data, biology and life sciences, the area of mining uncertain data has recently received a great deal of attention. While various papers hav...
Francesco Bonchi, Matthijs van Leeuwen, Antti Ukko...