Clustering Trend Data Time-Series through Segmentation of FFT-decomposed Signal Constituents

Daniyal Kazempour, Anna Beer, Oliver Schrüfer, Thomas Seidl 0001. Clustering Trend Data Time-Series through Segmentation of FFT-decomposed Signal Constituents. In Robert Jäschke, Matthias Weidlich, editors, Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30 - October 2, 2019. Volume 2454 of CEUR Workshop Proceedings, pages 127-138, CEUR-WS.org, 2019. [doi]

@inproceedings{KazempourBS019,
  title = {Clustering Trend Data Time-Series through Segmentation of FFT-decomposed Signal Constituents},
  author = {Daniyal Kazempour and Anna Beer and Oliver Schrüfer and Thomas Seidl 0001},
  year = {2019},
  url = {http://ceur-ws.org/Vol-2454/paper_64.pdf},
  researchr = {https://researchr.org/publication/KazempourBS019},
  cites = {0},
  citedby = {0},
  pages = {127-138},
  booktitle = {Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30 - October 2, 2019},
  editor = {Robert Jäschke and Matthias Weidlich},
  volume = {2454},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}