Convergent Time-Varying Regression Models for Data Streams: Tracking Concept Drift by the Recursive Parzen-Based Generalized Regression Neural Networks

@article{Duda2018ConvergentTR,
  title={Convergent Time-Varying Regression Models for Data Streams: Tracking Concept Drift by the Recursive Parzen-Based Generalized Regression Neural Networks},
  author={Piotr Duda and Maciej Jaworski and Leszek Rutkowski},
  journal={International journal of neural systems},
  year={2018},
  volume={28 2},
  pages={
          1750048
        }
}
One of the greatest challenges in data mining is related to processing and analysis of massive data streams. Contrary to traditional static data mining problems, data streams require that each element is processed only once, the amount of allocated memory is constant and the models incorporate changes of investigated streams. A vast majority of available… CONTINUE READING