CASPITA: Mining Statistically Significant Paths in Time Series Data from an Unknown Network

Andrea Tonon, Fabio Vandin. CASPITA: Mining Statistically Significant Paths in Time Series Data from an Unknown Network. In James Bailey 0001, Pauli Miettinen, Yun Sing Koh, Dacheng Tao, Xindong Wu 0001, editors, IEEE International Conference on Data Mining, ICDM 2021, Auckland, New Zealand, December 7-10, 2021. pages 639-648, IEEE, 2021. [doi]

@inproceedings{TononV21,
  title = {CASPITA: Mining Statistically Significant Paths in Time Series Data from an Unknown Network},
  author = {Andrea Tonon and Fabio Vandin},
  year = {2021},
  doi = {10.1109/ICDM51629.2021.00075},
  url = {https://doi.org/10.1109/ICDM51629.2021.00075},
  researchr = {https://researchr.org/publication/TononV21},
  cites = {0},
  citedby = {0},
  pages = {639-648},
  booktitle = {IEEE International Conference on Data Mining, ICDM 2021, Auckland, New Zealand, December 7-10, 2021},
  editor = {James Bailey 0001 and Pauli Miettinen and Yun Sing Koh and Dacheng Tao and Xindong Wu 0001},
  publisher = {IEEE},
  isbn = {978-1-6654-2398-4},
}