New Approach on Temporal Data Mining for Symbolic Time Sequences: Temporal Tree Associate Rules

Mathieu Guillame-Bert, James L. Crowley. New Approach on Temporal Data Mining for Symbolic Time Sequences: Temporal Tree Associate Rules. In IEEE 23rd International Conference on Tools with Artificial Intelligence, ICTAI 2011, Boca Raton, FL, USA, November 7-9, 2011. pages 748-752, IEEE, 2011. [doi]

@inproceedings{Guillame-BertC11,
  title = {New Approach on Temporal Data Mining for Symbolic Time Sequences: Temporal Tree Associate Rules},
  author = {Mathieu Guillame-Bert and James L. Crowley},
  year = {2011},
  doi = {10.1109/ICTAI.2011.117},
  url = {http://doi.ieeecomputersociety.org/10.1109/ICTAI.2011.117},
  researchr = {https://researchr.org/publication/Guillame-BertC11},
  cites = {0},
  citedby = {0},
  pages = {748-752},
  booktitle = {IEEE 23rd International Conference on Tools with Artificial Intelligence, ICTAI 2011, Boca Raton, FL, USA, November 7-9, 2011},
  publisher = {IEEE},
  isbn = {978-1-4577-2068-0},
}