Detecting concept change in dynamic data streams

@article{Pears2013DetectingCC,
  title={Detecting concept change in dynamic data streams},
  author={Russel Pears and Sripirakas Sakthithasan and Yun Sing Koh},
  journal={Machine Learning},
  year={2013},
  volume={97},
  pages={259-293}
}
In this research we present a novel approach to the concept change detection problem. Change detection is a fundamental issue with data stream mining as classification models generated need to be updated when significant changes in the underlying data distribution occur. A number of change detection approaches have been proposed but they all suffer from limitations with respect to one or more key performance factors such as high computational complexity, poor sensitivity to gradual change, or… CONTINUE READING
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