Mining Distributed Evolving Data Streams Using Fractal GP Ensembles

@inproceedings{Folino2007MiningDE,
  title={Mining Distributed Evolving Data Streams Using Fractal GP Ensembles},
  author={Gianluigi Folino and Clara Pizzuti and Giandomenico Spezzano},
  booktitle={EuroGP},
  year={2007}
}
A Genetic Programming based boosting ensemble method for the classification of distributed streaming data is proposed. The approach handles flows of data coming from multiple locations by building a global model obtained by the aggregation of the local models coming from each node. A main characteristics of the algorithm presented is its adaptability in presence of concept drift. Changes in data can cause serious deterioration of the ensemble performance. Our approach is able to discover… CONTINUE READING