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SSDBM
2006
IEEE
111views Database» more  SSDBM 2006»
13 years 11 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»
13 years 11 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»
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...
SSDBM
2006
IEEE
123views Database» more  SSDBM 2006»
13 years 11 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»
13 years 11 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...