%0 Conference Paper %1 conf/iccda/YangZF022 %A Yang, Tao %A Zhou, Yixuan %A Feng, Dan %A Hu, Haibo %B ICCDA %D 2022 %I ACM %K dblp %P 116-121 %T CVAS: An Interactive Visual Analytics System for Exploring COVID-19 Information on the Web. %U http://dblp.uni-trier.de/db/conf/iccda/iccda2022.html#YangZF022 %@ 978-1-4503-9547-2

@inproceedings{conf/iccda/YangZF022, added-at = {2022-05-30T00:00:00.000+0200}, author = {Yang, Tao and Zhou, Yixuan and Feng, Dan and Hu, Haibo}, biburl = {https://www.bibsonomy.org/bibtex/268dfdbb50e91bf8bd78788fd08e945b8/dblp}, booktitle = {ICCDA}, crossref = {conf/iccda/2022}, ee = {https://doi.org/10.1145/3523089.3523108}, interhash = {475704b5400bf21fa66e3b93ed3d6b04}, intrahash = {68dfdbb50e91bf8bd78788fd08e945b8}, isbn = {978-1-4503-9547-2}, keywords = {dblp}, pages = {116-121}, publisher = {ACM}, timestamp = {2024-04-09T09:50:38.000+0200}, title = {CVAS: An Interactive Visual Analytics System for Exploring COVID-19 Information on the Web.}, url = {http://dblp.uni-trier.de/db/conf/iccda/iccda2022.html#YangZF022}, year = 2022 }