PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning.

Yuening Li|Daochen Zha|Praveen Kumar Venugopal|Na Zou|Xia Hu


Anthology ID:DBLP:conf/www/LiZVZH20
Volume:Companion of The 2020 Web Conference 2020, Taipei, Taiwan, April 20-24, 2020
Year:2020
Venue:The Web Conference (WWW)
Publisher:ACM / IW3C2
Pages:153-157
URL:https://doi.org/10.1145/3366424.3383530
DOI:https://doi.org/10.1145/3366424.3383530
DBLP:conf/www/LiZVZH20
BibTeX:
@inproceedings{li-2020-pyodds, author = {Yuening Li and Daochen Zha and Praveen Kumar Venugopal and Na Zou and Xia Hu}, editor = {Amal El Fallah Seghrouchni and Gita Reese Sukthankar and Tie-Yan Liu and Maarten van Steen}, title = {{PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning}}, booktitle = {{Companion of The 2020 Web Conference 2020, Taipei, Taiwan, April 20-24, 2020}}, pages = {153--157}, publisher = {ACM / IW3C2}, year = {2020}, url = {https://doi.org/10.1145/3366424.3383530}, doi = {https://doi.org/10.1145/3366424.3383530} }