StreamXM: An Adaptive Partitional Clustering Solution for Evolving Data Streams

Robert Anderson, Yun Sing Koh. StreamXM: An Adaptive Partitional Clustering Solution for Evolving Data Streams. In Sanjay Madria, Takahiro Hara, editors, Big Data Analytics and Knowledge Discovery - 17th International Conference, DaWaK 2015, Valencia, Spain, September 1-4, 2015, Proceedings. Volume 9263 of Lecture Notes in Computer Science, pages 270-282, Springer, 2015. [doi]

@inproceedings{AndersonK15,
  title = {StreamXM: An Adaptive Partitional Clustering Solution for Evolving Data Streams},
  author = {Robert Anderson and Yun Sing Koh},
  year = {2015},
  doi = {10.1007/978-3-319-22729-0_21},
  url = {http://dx.doi.org/10.1007/978-3-319-22729-0_21},
  researchr = {https://researchr.org/publication/AndersonK15},
  cites = {0},
  citedby = {0},
  pages = {270-282},
  booktitle = {Big Data Analytics and Knowledge Discovery - 17th International Conference, DaWaK 2015, Valencia, Spain, September 1-4, 2015, Proceedings},
  editor = {Sanjay Madria and Takahiro Hara},
  volume = {9263},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-22728-3},
}