Online Fusion of Incremental Learning for Wireless Sensor Networks

@article{Bosman2014OnlineFO,
  title={Online Fusion of Incremental Learning for Wireless Sensor Networks},
  author={H. J. Bosman and Giovanni Iacca and H. W{\"o}rtche and A. Liotta},
  journal={2014 IEEE International Conference on Data Mining Workshop},
  year={2014},
  pages={525-532}
}
Ever-more ubiquitous embedded systems provide us with large amounts of data. Performing analysis close to the data source allows for data reduction while giving information when unexpected behavior (i.e. Anomalies in the system under observation) occurs. This work presents a novel approach to online anomaly detection, based on an ensemble of classifiers that can be executed on distributed embedded systems. We consider both single and multi-dimensional input classifiers that are based on… Expand
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