E2GK: Evidential Evolving Gustafsson-Kessel Algorithm for Data Streams Partitioning Using Belief Functions

Lisa Serir, Emmanuel Ramasso, Noureddine Zerhouni. E2GK: Evidential Evolving Gustafsson-Kessel Algorithm for Data Streams Partitioning Using Belief Functions. In Weiru Liu, editor, Symbolic and Quantitative Approaches to Reasoning with Uncertainty - 11th European Conference, ECSQARU 2011, Belfast, UK, June 29-July 1, 2011. Proceedings. Volume 6717 of Lecture Notes in Computer Science, pages 326-337, Springer, 2011. [doi]

@inproceedings{SerirRZ11,
  title = {E2GK: Evidential Evolving Gustafsson-Kessel Algorithm for Data Streams Partitioning Using Belief Functions},
  author = {Lisa Serir and Emmanuel Ramasso and Noureddine Zerhouni},
  year = {2011},
  doi = {10.1007/978-3-642-22152-1_28},
  url = {http://dx.doi.org/10.1007/978-3-642-22152-1_28},
  tags = {partitioning},
  researchr = {https://researchr.org/publication/SerirRZ11},
  cites = {0},
  citedby = {0},
  pages = {326-337},
  booktitle = {Symbolic and Quantitative Approaches to Reasoning with Uncertainty - 11th European Conference, ECSQARU 2011, Belfast, UK, June 29-July 1, 2011. Proceedings},
  editor = {Weiru Liu},
  volume = {6717},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-22151-4},
}