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» Clustering Moving Objects via Medoid Clusterings
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SSDBM
2005
IEEE
159views Database» more  SSDBM 2005»
13 years 10 months ago
Clustering Moving Objects via Medoid Clusterings
Modern geographic information systems do not only have to handle static information but also dynamically moving objects. Clustering algorithms for these moving objects provide new...
Hans-Peter Kriegel, Martin Pfeifle
DASFAA
2007
IEEE
190views Database» more  DASFAA 2007»
13 years 11 months ago
Clustering Moving Objects in Spatial Networks
Advances in wireless networks and positioning technologies (e.g., GPS) have enabled new data management applications that monitor moving objects. In such new applications, realtime...
Jidong Chen, Caifeng Lai, Xiaofeng Meng, Jianliang...
PVLDB
2010
86views more  PVLDB 2010»
13 years 3 months ago
Swarm: Mining Relaxed Temporal Moving Object Clusters
Recent improvements in positioning technology make massive moving object data widely available. One important analysis is to find the moving objects that travel together. Existin...
Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays
WCRE
2008
IEEE
13 years 11 months ago
PREREQIR: Recovering Pre-Requirements via Cluster Analysis
High-level software artifacts, such as requirements, domain-specific requirements, and so on, are an important source of information that is often neglected during the reverse- an...
Jane Huffman Hayes, Giuliano Antoniol, Yann-Ga&eum...
ICDM
2009
IEEE
133views Data Mining» more  ICDM 2009»
13 years 2 months ago
Clustering Trajectories of Moving Objects in an Uncertain World
Mining Trajectory Databases (TD) has recently gained great interest due to the popularity of tracking devices. On the other hand, the inherent presence of uncertainty in TD (e.g.,...
Nikos Pelekis, Ioannis Kopanakis, Evangelos E. Kot...