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» Continuous k-Means Monitoring over Moving Objects
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TKDE
2008
162views more  TKDE 2008»
13 years 4 months ago
Continuous k-Means Monitoring over Moving Objects
Given a dataset P, a k-means query returns k points in space (called centers), such that the average squared distance between each point in P and its nearest center is minimized. S...
Zhenjie Zhang, Yin Yang, Anthony K. H. Tung, Dimit...
SIGMOD
2005
ACM
187views Database» more  SIGMOD 2005»
14 years 4 months ago
A Generic Framework for Monitoring Continuous Spatial Queries over Moving Objects
This paper proposes a generic framework for monitoring continuous spatial queries over moving objects. The framework distinguishes itself from existing work by being the first to ...
Haibo Hu, Jianliang Xu, Dik Lun Lee
SSD
2007
Springer
243views Database» more  SSD 2007»
13 years 10 months ago
Continuous Medoid Queries over Moving Objects
In the k-medoid problem, given a dataset P, we are asked to choose k points in P as the medoids. The optimal medoid set minimizes the average Euclidean distance between the points ...
Stavros Papadopoulos, Dimitris Sacharidis, Kyriako...
KDD
2009
ACM
217views Data Mining» more  KDD 2009»
14 years 5 months ago
Efficient anomaly monitoring over moving object trajectory streams
Lately there exist increasing demands for online abnormality monitoring over trajectory streams, which are obtained from moving object tracking devices. This problem is challengin...
Yingyi Bu, Lei Chen 0002, Ada Wai-Chee Fu, Dawei L...
DASFAA
2009
IEEE
203views Database» more  DASFAA 2009»
13 years 11 months ago
Adaptive Safe Regions for Continuous Spatial Queries over Moving Objects
Abstract. Continuous spatial queries retrieve a set of time-varying objects continuously during a given period of time. However, monitoring moving objects to maintain the correctne...
Yu-Ling Hsueh, Roger Zimmermann, Wei-Shinn Ku