| Abstract |
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Sensor networks attract increasing interest, for a broad
range of applications. Given a sensor network, one key issue
becomes how to utilize it efficiently and effectively. In
particular, how can we detect the underlying correlations
(latent variables) among many co-evolving sensor measurements?
Can we do it incrementally? We present a system
that can (1) collect the measurements from the real wireless
sensors; (2) process them in real-time; and (3) determine
the correlations (latent variables) among the sensor
streams on the fly.
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 Additional Information
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Citation:
Jimeng Sun, Spiros Papadimitriou, Christos Faloutsos,
"Online Latent Variable Detection in Sensor Networks,"
icde,
pp. 1126-1127,
21st International Conference on Data Engineering (ICDE'05),
2005
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