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SSDBM
2006
IEEE
111views Database» more  SSDBM 2006»
14 years 1 months ago
Efficient Data Harvesting for Tracing Phenomena in Sensor Networks
Many publisWsubscribe systems have been built using wireless sensor networks, WSNs, deployedfor real-world environmentaldata collection, securitymonitoring,and object tracking. Ho...
Adesola Omotayo, Moustafa A. Hammad, Ken Barker
SSDBM
2006
IEEE
121views Database» more  SSDBM 2006»
14 years 1 months ago
Scalability Management in Sensor-Network PhenomenaBases
A phenomenon appears in a sensor network when a group of sensors persist to generate similar behavior over a period of time. PhenomenaBases (or databases of phenomena) are equippe...
Mohamed H. Ali, Walid G. Aref, Ibrahim Kamel
SSDBM
2006
IEEE
140views Database» more  SSDBM 2006»
14 years 1 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...
SSDBM
2006
IEEE
123views Database» more  SSDBM 2006»
14 years 1 months ago
Mining Hierarchies of Correlation Clusters
The detection of correlations between different features in high dimensional data sets is a very important data mining task. These correlations can be arbitrarily complex: One or...
Elke Achtert, Christian Böhm, Peer Kröge...
SSDBM
2006
IEEE
139views Database» more  SSDBM 2006»
14 years 1 months ago
Sampling Trajectory Streams with Spatiotemporal Criteria
Monitoring movement of high-dimensional points is essential for environmental databases, geospatial applications, and biodiversity informatics as it reveals crucial information ab...
Michalis Potamias, Kostas Patroumpas, Timos K. Sel...