Efficiently Mining Frequent Representative Motifs in Large Collections of Time Series

Stijn J. Rotman, Boris Cule, Len Feremans. Efficiently Mining Frequent Representative Motifs in Large Collections of Time Series. In Jingrui He, Themis Palpanas, Xiaohua Hu, Alfredo Cuzzocrea, Dejing Dou, Dominik Slezak, Wei Wang, Aleksandra Gruca, Jerry Chun-Wei Lin, Rakesh Agrawal 0001, editors, IEEE International Conference on Big Data, BigData 2023, Sorrento, Italy, December 15-18, 2023. pages 66-75, IEEE, 2023. [doi]

@inproceedings{RotmanCF23,
  title = {Efficiently Mining Frequent Representative Motifs in Large Collections of Time Series},
  author = {Stijn J. Rotman and Boris Cule and Len Feremans},
  year = {2023},
  doi = {10.1109/BigData59044.2023.10386145},
  url = {https://doi.org/10.1109/BigData59044.2023.10386145},
  researchr = {https://researchr.org/publication/RotmanCF23},
  cites = {0},
  citedby = {0},
  pages = {66-75},
  booktitle = {IEEE International Conference on Big Data, BigData 2023, Sorrento, Italy, December 15-18, 2023},
  editor = {Jingrui He and Themis Palpanas and Xiaohua Hu and Alfredo Cuzzocrea and Dejing Dou and Dominik Slezak and Wei Wang and Aleksandra Gruca and Jerry Chun-Wei Lin and Rakesh Agrawal 0001},
  publisher = {IEEE},
  isbn = {979-8-3503-2445-7},
}