Lucie Cadorel, Andrea G. B. Tettamanzi. Mining RDF Data of COVID-19 Scientific Literature for Interesting Association Rules. In Jing He 0004, Hemant Purohit, Guangyan Huang, Xiaoying Gao, Ke Deng, editors, IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI/IAT 2020, Melbourne, Australia, December 14-17, 2020. pages 145-152, IEEE, 2020. [doi]
@inproceedings{CadorelT20,
title = {Mining RDF Data of COVID-19 Scientific Literature for Interesting Association Rules},
author = {Lucie Cadorel and Andrea G. B. Tettamanzi},
year = {2020},
doi = {10.1109/WIIAT50758.2020.00024},
url = {https://doi.org/10.1109/WIIAT50758.2020.00024},
researchr = {https://researchr.org/publication/CadorelT20},
cites = {0},
citedby = {0},
pages = {145-152},
booktitle = {IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI/IAT 2020, Melbourne, Australia, December 14-17, 2020},
editor = {Jing He 0004 and Hemant Purohit and Guangyan Huang and Xiaoying Gao and Ke Deng},
publisher = {IEEE},
isbn = {978-1-6654-1924-6},
}