A Context-Driven Data Weighting Approach for Handling Concept Drift in Classification

Lida Barakat. A Context-Driven Data Weighting Approach for Handling Concept Drift in Classification. In Robert Burduk, Konrad Jackowski, Marek Kurzynski, Michal Wozniak, Andrzej Zolnierek, editors, Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, Wroclaw, Poland, 25-27 May 2015. Volume 403 of Advances in Intelligent Systems and Computing, pages 383-393, Springer, 2015. [doi]

@inproceedings{Barakat15-1,
  title = {A Context-Driven Data Weighting Approach for Handling Concept Drift in Classification},
  author = {Lida Barakat},
  year = {2015},
  doi = {10.1007/978-3-319-26227-7_36},
  url = {http://dx.doi.org/10.1007/978-3-319-26227-7_36},
  researchr = {https://researchr.org/publication/Barakat15-1},
  cites = {0},
  citedby = {0},
  pages = {383-393},
  booktitle = {Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, Wroclaw, Poland, 25-27 May 2015},
  editor = {Robert Burduk and Konrad Jackowski and Marek Kurzynski and Michal Wozniak and Andrzej Zolnierek},
  volume = {403},
  series = {Advances in Intelligent Systems and Computing},
  publisher = {Springer},
  isbn = {978-3-319-26225-3},
}