Naif Almusallam. An Unsupervised Feature Selection Method for Data-Driven Anomaly Detection Systems. In 29th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2020, Virtual Event, France, September 10-13, 2020. pages 36-41, IEEE, 2020. [doi]
@inproceedings{Almusallam20,
title = {An Unsupervised Feature Selection Method for Data-Driven Anomaly Detection Systems},
author = {Naif Almusallam},
year = {2020},
doi = {10.1109/WETICE49692.2020.00016},
url = {https://doi.org/10.1109/WETICE49692.2020.00016},
researchr = {https://researchr.org/publication/Almusallam20},
cites = {0},
citedby = {0},
pages = {36-41},
booktitle = {29th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2020, Virtual Event, France, September 10-13, 2020},
publisher = {IEEE},
isbn = {978-1-7281-6975-0},
}