An adaptive modular approach to the mining of sensor network data

@inproceedings{Bontempi2005AnAM,
  title={An adaptive modular approach to the mining of sensor network data},
  author={Gianluca Bontempi and Yann-A{\"e}l Le Borgne},
  year={2005}
}
This paper proposes a two-layer modular architecture to adaptively perform data mining tasks in large sensor networks. The architecture consists in a lower layer which performs data aggregation in a modular fashion and in an upper layer which employs an adaptive local learning technique to extract a prediction model from the aggregated information. The rationale of the approach is that a modular aggregation of sensor data can serve jointly two purposes: first, the organization of sensors in… CONTINUE READING
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