Learning Patterns from Imbalanced Evolving Data Streams

Learning patterns from evolving data streams is challenging due to the characteristics of such streams: being continuous, unbounded and high speed data of non-stationary nature, which must be processed on the fly, using minimal computational resources. An additional challenge is imposed by the imbal... View More