Polishing the Right Apple: Anytime Classification Also Benefits Data Streams with Constant Arrival Times

Jin Shieh, Eamonn J. Keogh. Polishing the Right Apple: Anytime Classification Also Benefits Data Streams with Constant Arrival Times. In Geoffrey I. Webb, Bing Liu, Chengqi Zhang, Dimitrios Gunopulos, Xindong Wu, editors, ICDM 2010, The 10th IEEE International Conference on Data Mining, Sydney, Australia, 14-17 December 2010. pages 461-470, IEEE Computer Society, 2010. [doi]

@inproceedings{ShiehK10-0,
  title = {Polishing the Right Apple: Anytime Classification Also Benefits Data Streams with Constant Arrival Times},
  author = {Jin Shieh and Eamonn J. Keogh},
  year = {2010},
  doi = {10.1109/ICDM.2010.120},
  url = {http://dx.doi.org/10.1109/ICDM.2010.120},
  tags = {classification},
  researchr = {https://researchr.org/publication/ShiehK10-0},
  cites = {0},
  citedby = {0},
  pages = {461-470},
  booktitle = {ICDM 2010, The 10th IEEE International Conference on Data Mining, Sydney, Australia, 14-17 December 2010},
  editor = {Geoffrey I. Webb and Bing Liu and Chengqi Zhang and Dimitrios Gunopulos and Xindong Wu},
  publisher = {IEEE Computer Society},
}