ShiftTree: An Interpretable Model-Based Approach for Time Series Classification

Balázs Hidasi, Csaba Gáspár-Papanek. ShiftTree: An Interpretable Model-Based Approach for Time Series Classification. In Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, Proceedings, Part II. Volume 6912 of Lecture Notes in Computer Science, pages 48-64, Springer, 2011. [doi]

@inproceedings{HidasiG11,
  title = {ShiftTree: An Interpretable Model-Based Approach for Time Series Classification},
  author = {Balázs Hidasi and Csaba Gáspár-Papanek},
  year = {2011},
  doi = {10.1007/978-3-642-23783-6_4},
  url = {http://dx.doi.org/10.1007/978-3-642-23783-6_4},
  tags = {rule-based, classification, systematic-approach},
  researchr = {https://researchr.org/publication/HidasiG11},
  cites = {0},
  citedby = {0},
  pages = {48-64},
  booktitle = {Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, Proceedings, Part II},
  editor = {Dimitrios Gunopulos and Thomas Hofmann and Donato Malerba and Michalis Vazirgiannis},
  volume = {6912},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-23782-9},
}