Z-Embedding: A Spectral Representation of Event Intervals for Efficient Clustering and Classification

Zed Lee, Sarunas Girdzijauskas, Panagiotis Papapetrou. Z-Embedding: A Spectral Representation of Event Intervals for Efficient Clustering and Classification. In Frank Hutter, Kristian Kersting, Jefrey Lijffijt, Isabel Valera, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part I. Volume 12457 of Lecture Notes in Computer Science, pages 710-726, Springer, 2020. [doi]

@inproceedings{LeeGP20-0,
  title = {Z-Embedding: A Spectral Representation of Event Intervals for Efficient Clustering and Classification},
  author = {Zed Lee and Sarunas Girdzijauskas and Panagiotis Papapetrou},
  year = {2020},
  doi = {10.1007/978-3-030-67658-2_41},
  url = {https://doi.org/10.1007/978-3-030-67658-2_41},
  researchr = {https://researchr.org/publication/LeeGP20-0},
  cites = {0},
  citedby = {0},
  pages = {710-726},
  booktitle = {Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part I},
  editor = {Frank Hutter and Kristian Kersting and Jefrey Lijffijt and Isabel Valera},
  volume = {12457},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-67658-2},
}