Resolving global and local drifts in data stream regression using evolving rule-based models

Ammar Shaker, Edwin Lughofer. Resolving global and local drifts in data stream regression using evolving rule-based models. In Proceedings of the 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2013, IEEE Symposium Series on Computational Intelligence (SSCI), 16-19 April 2013, Singapore. pages 9-16, IEEE, 2013. [doi]

@inproceedings{ShakerL13,
  title = {Resolving global and local drifts in data stream regression using evolving rule-based models},
  author = {Ammar Shaker and Edwin Lughofer},
  year = {2013},
  doi = {10.1109/EAIS.2013.6604099},
  url = {http://dx.doi.org/10.1109/EAIS.2013.6604099},
  researchr = {https://researchr.org/publication/ShakerL13},
  cites = {0},
  citedby = {0},
  pages = {9-16},
  booktitle = {Proceedings of the 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2013, IEEE Symposium Series on Computational Intelligence (SSCI), 16-19 April 2013, Singapore},
  publisher = {IEEE},
  isbn = {978-1-4673-5855-2},
}