PEARL: Probabilistic Exact Adaptive Random Forest with Lossy Counting for Data Streams

Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe. PEARL: Probabilistic Exact Adaptive Random Forest with Lossy Counting for Data Streams. In Hady W. Lauw, Raymond Chi-Wing Wong, Alexandros Ntoulas, Ee-Peng Lim, See-Kiong Ng, Sinno Jialin Pan, editors, Advances in Knowledge Discovery and Data Mining - 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020, Proceedings, Part II. Volume 12085 of Lecture Notes in Computer Science, pages 17-30, Springer, 2020. [doi]

@inproceedings{WuKDL20,
  title = {PEARL: Probabilistic Exact Adaptive Random Forest with Lossy Counting for Data Streams},
  author = {Ocean Wu and Yun Sing Koh and Gillian Dobbie and Thomas Lacombe},
  year = {2020},
  doi = {10.1007/978-3-030-47436-2_2},
  url = {https://doi.org/10.1007/978-3-030-47436-2_2},
  researchr = {https://researchr.org/publication/WuKDL20},
  cites = {0},
  citedby = {0},
  pages = {17-30},
  booktitle = {Advances in Knowledge Discovery and Data Mining - 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020, Proceedings, Part II},
  editor = {Hady W. Lauw and Raymond Chi-Wing Wong and Alexandros Ntoulas and Ee-Peng Lim and See-Kiong Ng and Sinno Jialin Pan},
  volume = {12085},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-47436-2},
}