CICLAD: A Fast and Memory-efficient Closed Itemset Miner for Streams

Tomas Martin, Guy Francoeur, Petko Valtchev. CICLAD: A Fast and Memory-efficient Closed Itemset Miner for Streams. In Rajesh Gupta 0001, Yan Liu 0002, Jiliang Tang, B. Aditya Prakash, editors, KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, CA, USA, August 23-27, 2020. pages 1810-1818, ACM, 2020. [doi]

@inproceedings{MartinFV20,
  title = {CICLAD: A Fast and Memory-efficient Closed Itemset Miner for Streams},
  author = {Tomas Martin and Guy Francoeur and Petko Valtchev},
  year = {2020},
  url = {https://dl.acm.org/doi/10.1145/3394486.3403232},
  researchr = {https://researchr.org/publication/MartinFV20},
  cites = {0},
  citedby = {0},
  pages = {1810-1818},
  booktitle = {KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, CA, USA, August 23-27, 2020},
  editor = {Rajesh Gupta 0001 and Yan Liu 0002 and Jiliang Tang and B. Aditya Prakash},
  publisher = {ACM},
  isbn = {978-1-4503-7998-4},
}