Quantitative Association Rules Applied to Climatological Time Series Forecasting

M. Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme. Quantitative Association Rules Applied to Climatological Time Series Forecasting. In Emilio Corchado, Hujun Yin, editors, Intelligent Data Engineering and Automated Learning - IDEAL 2009, 10th International Conference, Burgos, Spain, September 23-26, 2009. Proceedings. Volume 5788 of Lecture Notes in Computer Science, pages 284-291, Springer, 2009. [doi]

@inproceedings{Martinez-BallesterosMLR09,
  title = {Quantitative Association Rules Applied to Climatological Time Series Forecasting},
  author = {M. Martínez-Ballesteros and Francisco Martínez-Álvarez and Alicia Troncoso Lora and José C. Riquelme},
  year = {2009},
  doi = {10.1007/978-3-642-04394-9_35},
  url = {http://dx.doi.org/10.1007/978-3-642-04394-9_35},
  tags = {rule-based, rules, C++},
  researchr = {https://researchr.org/publication/Martinez-BallesterosMLR09},
  cites = {0},
  citedby = {0},
  pages = {284-291},
  booktitle = {Intelligent Data Engineering and Automated Learning - IDEAL 2009, 10th International Conference, Burgos, Spain, September 23-26, 2009. Proceedings},
  editor = {Emilio Corchado and Hujun Yin},
  volume = {5788},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-04393-2},
}