Zed Lee, Tony Lindgren, Panagiotis Papapetrou. Z-Miner: An Efficient Method for Mining Frequent Arrangements of Event Intervals. 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 524-534, ACM, 2020. [doi]
@inproceedings{LeeLP20-0,
title = {Z-Miner: An Efficient Method for Mining Frequent Arrangements of Event Intervals},
author = {Zed Lee and Tony Lindgren and Panagiotis Papapetrou},
year = {2020},
url = {https://dl.acm.org/doi/10.1145/3394486.3403095},
researchr = {https://researchr.org/publication/LeeLP20-0},
cites = {0},
citedby = {0},
pages = {524-534},
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},
}