Trust the Process: Analyzing Prospective Provenance for Data Cleaning.
Nikolaus Nova Parulian|Bertram Ludäscher
| Anthology ID: | DBLP:conf/www/ParulianL23 |
|---|---|
| Volume: | Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023 |
| Year: | 2023 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1513-1523 |
| URL: | https://doi.org/10.1145/3543873.3587558 |
| DOI: | https://doi.org/10.1145/3543873.3587558 |
| DBLP: | conf/www/ParulianL23 |
| BibTeX: |
@inproceedings{parulian-2023-trust,
author = {Nikolaus Nova Parulian and
Bertram Lud\"{a}scher},
editor = {Ying Ding and
Jie Tang and
Juan F. Sequeda and
Lora Aroyo and
Carlos Castillo and
Geert-Jan Houben},
title = {{Trust the Process: Analyzing Prospective Provenance for Data Cleaning}},
booktitle = {{Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}},
pages = {1513--1523},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3543873.3587558},
doi = {https://doi.org/10.1145/3543873.3587558}
}