by Fournier-Viger Philippe, Cheng Chao, Cheng Zhi, Lin Jerry Chun-Wei and Selmaoui-Folcher Nazha
Reference:
Fournier-Viger Philippe, Cheng Chao, Cheng Zhi, Lin Jerry Chun-Wei and Selmaoui-Folcher Nazha, "Finding Strongly Correlated Trends in Dynamic Attributed Graphs", In Big Data Analytics and Knowledge Discovery - 21st International Conference, DaWaK 2019, Linz, Austria, August 26-29, 2019, Proceedings (Ordonez Carlos, Song Il-Yeol, Anderst-Kotsis Gabriele, Tjoa A Min, Khalil Ismail, eds.), Springer, pp. 250–265, 2019.
Bibtex Entry:
@inproceedings{DBLP:conf/dawak/Fournier-VigerC19,
author = {Philippe Fournier{-}Viger and
Chao Cheng and
Zhi Cheng and
Jerry Chun{-}Wei Lin and
Nazha Selmaoui{-}Folcher},
editor = {Carlos Ordonez and
Il{-}Yeol Song and
Gabriele Anderst{-}Kotsis and
A Min Tjoa and
Ismail Khalil},
title = {Finding Strongly Correlated Trends in Dynamic Attributed Graphs},
booktitle = {Big Data Analytics and Knowledge Discovery - 21st International Conference,
DaWaK 2019, Linz, Austria, August 26-29, 2019, Proceedings},
series = {Lecture Notes in Computer Science},
volume = {11708},
pages = {250--265},
publisher = {Springer},
year = {2019},
url = {
https://doi.org/10.1007/978-3-030-27520-4\_18},
doi = {10.1007/978-3-030-27520-4\_18},
timestamp = {Thu, 23 Sep 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/dawak/Fournier-VigerC19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}