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» Continuous k-Means Monitoring over Moving Objects
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DASFAA
2007
IEEE
178views Database» more  DASFAA 2007»
14 years 1 months ago
ClusterSheddy : Load Shedding Using Moving Clusters over Spatio-temporal Data Streams
Abstract. Moving object environments are characterized by large numbers of objects continuously sending location updates. At times, data arrival rates may spike up, causing the loa...
Rimma V. Nehme, Elke A. Rundensteiner
ICRA
2010
IEEE
195views Robotics» more  ICRA 2010»
13 years 6 months ago
Cooperative tracking of moving objects and face detection with a dual camera sensor
— This paper describes a sensor for autonomous surveillance capable of continuously monitoring the environment, while acquiring detailed images of specific areas. This is achiev...
Stefano Ghidoni, Alberto Pretto, Emanuele Menegatt...
DASFAA
2007
IEEE
190views Database» more  DASFAA 2007»
14 years 1 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...
CIKM
2011
Springer
12 years 7 months ago
MTopS: scalable processing of continuous top-k multi-query workloads
A continuous top-k query retrieves the k most preferred objects in a data stream according to a given preference function. These queries are important for a broad spectrum of appl...
Avani Shastri, Di Yang, Elke A. Rundensteiner, Mat...
SAC
2011
ACM
12 years 10 months ago
Tracking continuous topological changes of complex moving regions
A moving region whose location and extend change over time can imply topological changes such as region split and hole formation. To study this phenomenon is useful in many applic...
Hechen Liu, Markus Schneider