Thien Q. Tran, Jun Sakuma. Seasonal-adjustment Based Feature Selection Method for Predicting Epidemic with Large-scale Search Engine Logs. In Ankur Teredesai, Vipin Kumar, Ying Li, Rómer Rosales, Evimaria Terzi, George Karypis, editors, Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019. pages 2857-2866, ACM, 2019. [doi]
@inproceedings{TranS19,
title = {Seasonal-adjustment Based Feature Selection Method for Predicting Epidemic with Large-scale Search Engine Logs},
author = {Thien Q. Tran and Jun Sakuma},
year = {2019},
doi = {10.1145/3292500.3330766},
url = {https://doi.org/10.1145/3292500.3330766},
researchr = {https://researchr.org/publication/TranS19},
cites = {0},
citedby = {0},
pages = {2857-2866},
booktitle = {Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019},
editor = {Ankur Teredesai and Vipin Kumar and Ying Li and Rómer Rosales and Evimaria Terzi and George Karypis},
publisher = {ACM},
isbn = {978-1-4503-6201-6},
}