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Clustering distributed time series in sensor networks
J. Yin, M. Gaber
School of Computing
Research output
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Contribution to conference
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Paper
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peer-review
245
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Dive into the research topics of 'Clustering distributed time series in sensor networks'. Together they form a unique fingerprint.
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Computer Science
Incremental Clustering
100%
Sensor Networks
100%
Clustering Technique
66%
Sensor Node
66%
Event Detection
66%
High False Alarm Rate
33%
Energy Efficient
33%
Wavelet Transforms
33%
Monitoring Application
33%
Underlying Infrastructure
33%
Topology Change
33%
Network Topology
33%
Experimental Result
33%
Compact Representation
33%
Clustering Algorithm
33%
Synthetic Data
33%
Dynamic Time Warping
33%
Energy Efficiency
33%
Engineering
Sensor Network
100%
Event Detection
66%
Sensor Node
66%
Experimental Result
33%
Energy Conservation
33%
Infrastructure
33%
Network Topology
33%
Clustering Algorithm
33%
Sensor Data
33%
Real Data
33%
Compact Representation
33%
Data Point
33%
Individual Sensor
33%
Energy Engineering
33%
False Alarm Rate
33%
Application Monitoring
33%
Energy Efficiency
33%
INIS
sensors
100%
data
66%
algorithms
33%
detection
33%
topology
16%
applications
16%
solutions
16%
distance
16%
energy
16%
dynamics
16%
compacts
16%
monitoring
16%
approximations
16%
energy efficiency
16%
cluster model
16%