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» Learning from sensor network data
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134
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ICDM
2005
IEEE
189views Data Mining» more  ICDM 2005»
15 years 8 months ago
Integrating Hidden Markov Models and Spectral Analysis for Sensory Time Series Clustering
We present a novel approach for clustering sequences of multi-dimensional trajectory data obtained from a sensor network. The sensory time-series data present new challenges to da...
Jie Yin, Qiang Yang
95
Voted
EMSOFT
2005
Springer
15 years 8 months ago
Semantics-based optimization across uncoordinated tasks in networked embedded systems
Microservers are networked embedded devices that accept user tasks on demand and execute them on real world information collected by sensors. Sharing intermediate sensing and comp...
Jie Liu, Elaine Cheong, Feng Zhao
149
Voted
WWW
2007
ACM
16 years 3 months ago
Optimized query planning of continuous aggregation queries in dynamic data dissemination networks
Continuous queries are used to monitor changes to time varying data and to provide results useful for online decision making. Typically a user desires to obtain the value of some ...
Rajeev Gupta, Krithi Ramamritham
250
Voted
TKDE
2012
487views Formal Methods» more  TKDE 2012»
13 years 5 months ago
Query Planning for Continuous Aggregation Queries over a Network of Data Aggregators
—Continuous queries are used to monitor changes to time varying data and to provide results useful for online decision making. Typically a user desires to obtain the value of som...
Rajeev Gupta, Krithi Ramamritham
102
Voted
COMPCON
1995
IEEE
15 years 6 months ago
REINAS: the Real-Time Environmental Information Network and Analysis System
The Real-Time Environmental Information Network and Analysis System (REINAS) is a distributed system supporting the conduct of regional environmental science research at the desk ...
Darrell D. E. Long, Patrick E. Mantey, Craig M. Wi...