TECNO-STREAMS: Tracking Evolving Clusters in Noisy Data Streams with a Scalable Immune System Learning Model

@inproceedings{Nasraoui2003TECNOSTREAMSTE,
  title={TECNO-STREAMS: Tracking Evolving Clusters in Noisy Data Streams with a Scalable Immune System Learning Model},
  author={Olfa Nasraoui and Cesar Cardona Uribe and Carlos Rojas Coronel and Fabio A. Gonz{\'a}lez},
  booktitle={ICDM},
  year={2003}
}
Artificial Immune System (AIS) models hold many promises in the field of unsupervised learning. However, existing models are not scalable, which makes them of limited use in data mining. We propose a new AIS based clustering approach (TECNO-STREAMS) that addresses the weaknesses of current AIS models. Compared to existing AIS based techniques, our approach exhibits superior learning abilities, while at the same time, requiring low memory and computational costs. Like the natural immune system… CONTINUE READING
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