Temporal data analytics based on eigenmotif and shape space representations of time series

Andre Gensler, Bernhard Sick, Jens Willkomm. Temporal data analytics based on eigenmotif and shape space representations of time series. In IEEE China Summit & International Conference on Signal and Information Processing, ChinaSIP 2014, Xi'an, China, July 9-13, 2014. pages 753-757, IEEE, 2014. [doi]

@inproceedings{GenslerSW14,
  title = {Temporal data analytics based on eigenmotif and shape space representations of time series},
  author = {Andre Gensler and Bernhard Sick and Jens Willkomm},
  year = {2014},
  doi = {10.1109/ChinaSIP.2014.6889345},
  url = {http://dx.doi.org/10.1109/ChinaSIP.2014.6889345},
  researchr = {https://researchr.org/publication/GenslerSW14},
  cites = {0},
  citedby = {0},
  pages = {753-757},
  booktitle = {IEEE China Summit & International Conference on Signal and Information Processing, ChinaSIP 2014, Xi'an, China, July 9-13, 2014},
  publisher = {IEEE},
  isbn = {978-1-4799-5401-8},
}