Analyzing Granger Causality in Climate Data with Time Series Classification Methods

Christina Papagiannopoulou, Stijn Decubber, Diego G. Miralles, Matthias Demuzere, Niko E. C. Verhoest, Willem Waegeman. Analyzing Granger Causality in Climate Data with Time Series Classification Methods. In Yasemin Altun, Kamalika Das, Taneli Mielikäinen, Donato Malerba, Jerzy Stefanowski, Jesse Read, Marinka Zitnik, Michelangelo Ceci, Saso Dzeroski, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part III. Volume 10536 of Lecture Notes in Computer Science, pages 15-26, Springer, 2017. [doi]

@inproceedings{Papagiannopoulou17,
  title = {Analyzing Granger Causality in Climate Data with Time Series Classification Methods},
  author = {Christina Papagiannopoulou and Stijn Decubber and Diego G. Miralles and Matthias Demuzere and Niko E. C. Verhoest and Willem Waegeman},
  year = {2017},
  doi = {10.1007/978-3-319-71273-4_2},
  url = {https://doi.org/10.1007/978-3-319-71273-4_2},
  researchr = {https://researchr.org/publication/Papagiannopoulou17},
  cites = {0},
  citedby = {0},
  pages = {15-26},
  booktitle = {Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part III},
  editor = {Yasemin Altun and Kamalika Das and Taneli Mielikäinen and Donato Malerba and Jerzy Stefanowski and Jesse Read and Marinka Zitnik and Michelangelo Ceci and Saso Dzeroski},
  volume = {10536},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-71273-4},
}