Towards a Learned Cost Model for Distributed Spatial Join: Data, Code & Models.
Tin Vu|Alberto Belussi|Sara Migliorini|Ahmed Eldawy
| Anthology ID: | DBLP:conf/cikm/VuBME22 |
|---|---|
| Volume: | Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 4550-4554 |
| URL: | https://doi.org/10.1145/3511808.3557712 |
| DOI: | https://doi.org/10.1145/3511808.3557712 |
| DBLP: | conf/cikm/VuBME22 |
| BibTeX: |
@inproceedings{vu-2022-towards,
author = {Tin Vu and
Alberto Belussi and
Sara Migliorini and
Ahmed Eldawy},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{Towards a Learned Cost Model for Distributed Spatial Join: Data, Code & Models}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {4550--4554},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557712},
doi = {https://doi.org/10.1145/3511808.3557712}
}