@inproceedings{5830cd907a2449fbb0212ceb1c3f8e54,
title = "Distributed Scalable Association Rule Mining over Covid-19 Data",
keywords = "Apriori, Association rule mining, Big data, FP-growth, Machine learning, Spark",
author = "Mahtab Shahin and Wissem Inoubli and Shah, {Syed Attique} and Yahia, {Sadok Ben} and Dirk Draheim",
note = "Funding Information: Acknowledgements. This work has been conducted in the project “ICT programme” which was supported by the European Union through the European Social Fund. Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 8th International Conference on Future Data and Security Engineering , FDSE 2021 ; Conference date: 24-11-2021 Through 26-11-2021",
year = "2021",
doi = "10.1007/978-3-030-91387-8_3",
language = "English",
isbn = "9783030913861",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "39--52",
editor = "Dang, {Tran Khanh} and Josef K{\"u}ng and Chung, {Tai M.} and Makoto Takizawa",
booktitle = "Future Data and Security Engineering - 8th International Conference, FDSE 2021, Proceedings",
}