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» Mining data streams with periodically changing distributions
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WICON
2008
13 years 9 months ago
Seamless content delivery
Widespread and affordable broadband access opens up opportunities for delivery of new streaming services. However, what is expected to fundamentally change the way that people use...
Theodore Zahariadis, George Leoleis, Thomas Schier...
DC
2010
13 years 4 months ago
Rambo: a robust, reconfigurable atomic memory service for dynamic networks
In this paper, we present RAMBO, an algorithm for emulating a read/write distributed shared memory in a dynamic, rapidly changing environment. RAMBO provides a highly reliable, hi...
Seth Gilbert, Nancy A. Lynch, Alexander A. Shvarts...
SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
14 years 4 months ago
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...
EDBT
2011
ACM
225views Database» more  EDBT 2011»
12 years 11 months ago
SeMiTri: a framework for semantic annotation of heterogeneous trajectories
GPS devices allow recording the movement track of the moving object they are attached to. This data typically consists of a stream of spatio-temporal (x,y,t) points. For applicati...
Zhixian Yan, Dipanjan Chakraborty, Christine Paren...
IPSN
2009
Springer
14 years 2 months ago
Predictive QoS routing to mobile sinks in wireless sensor networks
We present an algorithm for data delivery to mobile sinks in wireless sensor networks. Our algorithm is based on information potentials, which we extend to account for mobility. W...
Branislav Kusy, HyungJune Lee, Martin Wicke, Nikol...