A new privacy-preserving solution for clustering massively distributed personal times-series

Tristan Allard, Georges Hébrail, Florent Masseglia, Esther Pacitti. A new privacy-preserving solution for clustering massively distributed personal times-series. In 32nd IEEE International Conference on Data Engineering, ICDE 2016, Helsinki, Finland, May 16-20, 2016. pages 1370-1373, IEEE Computer Society, 2016. [doi]

@inproceedings{AllardHMP16,
  title = {A new privacy-preserving solution for clustering massively distributed personal times-series},
  author = {Tristan Allard and Georges Hébrail and Florent Masseglia and Esther Pacitti},
  year = {2016},
  doi = {10.1109/ICDE.2016.7498347},
  url = {http://doi.ieeecomputersociety.org/10.1109/ICDE.2016.7498347},
  researchr = {https://researchr.org/publication/AllardHMP16},
  cites = {0},
  citedby = {0},
  pages = {1370-1373},
  booktitle = {32nd IEEE International Conference on Data Engineering, ICDE 2016, Helsinki, Finland, May 16-20, 2016},
  publisher = {IEEE Computer Society},
  isbn = {978-1-5090-2020-1},
}