Predicting High-risk Congestion Areas During Heavy Rain Using Multi Prediction Model and Maximum Periodic Frequent Pattern Algorithms.
Minh-Dang Tran|Nazmudeen Mohamed Saleem
| Anthology ID: | DBLP:conf/mir/TranS22 |
|---|---|
| Volume: | ICDAR@ICMR 2022: Proceedings of the 3rd ACM Workshop on Intelligent Cross-Data Analysis and Retrieval, Newark, NJ, USA, June 27 - 30, 2022 |
| Year: | 2022 |
| Venue: | ACM Workshop on Intelligent Cross-Data Analysis and Retrieval (ICDAR) |
| Publisher: | ACM |
| Pages: | 27-31 |
| URL: | https://doi.org/10.1145/3512731.3534215 |
| DOI: | https://doi.org/10.1145/3512731.3534215 |
| DBLP: | conf/mir/TranS22 |
| BibTeX: |
@inproceedings{tran-2022-predicting,
author = {Minh-Dang Tran and
Nazmudeen Mohamed Saleem},
editor = {Minh-Son Dao and
Duc-Tien Dang-Nguyen and
Michael Riegler},
title = {{Predicting High-risk Congestion Areas During Heavy Rain Using Multi Prediction Model and Maximum Periodic Frequent Pattern Algorithms}},
booktitle = {{ICDAR@ICMR 2022: Proceedings of the 3rd ACM Workshop on Intelligent Cross-Data Analysis and Retrieval, Newark, NJ, USA, June 27 - 30, 2022}},
pages = {27--31},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3512731.3534215},
doi = {https://doi.org/10.1145/3512731.3534215}
}