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» Maintaining variance and k-medians over data stream windows
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GIS
2007
ACM
14 years 6 months ago
Approximate order-k Voronoi cells over positional streams
Handling streams of positional updates from numerous moving objects has become a challenging task for many monitoring applications. Several algorithms have been recently proposed ...
Kostas Patroumpas, Theofanis Minogiannis, Timos K....
SIGMOD
2008
ACM
138views Database» more  SIGMOD 2008»
14 years 5 months ago
Sampling time-based sliding windows in bounded space
Random sampling is an appealing approach to build synopses of large data streams because random samples can be used for a broad spectrum of analytical tasks. Users are often inter...
Rainer Gemulla, Wolfgang Lehner
CIKM
2010
Springer
13 years 3 months ago
Partial drift detection using a rule induction framework
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
Damon Sotoudeh, Aijun An
ISCC
2006
IEEE
188views Communications» more  ISCC 2006»
13 years 11 months ago
Active Learning Driven Data Acquisition for Sensor Networks
Online monitoring of a physical phenomenon over a geographical area is a popular application of sensor networks. Networks representative of this class of applications are typicall...
Anish Muttreja, Anand Raghunathan, Srivaths Ravi, ...
TSP
2008
102views more  TSP 2008»
13 years 4 months ago
Bias Corrected PSD Estimation for an Adaptive Array With Moving Interference
We address the issue of computing power spectral density (PSD) estimates at the output of a beamforming sensor array in the presence of strong moving interference. It is shown that...
Brian D. Jeffs, Karl F. Warnick