PACMMOD V3, N1 (SIGMOD), February 2025: Editorial
The Proceedings of the ACM on Management of Data (PACMMOD) is concerned with the principles, algorithms, techniques, systems, and applications of database management systems, data management technology, and science and engineering of data. It includes articles reporting cutting-edge data management, data engineering, and data science research. We are pleased to present the 1st issue of Volume 3 of PACMMOD. This issue contains papers that were submitted to the SIGMOD research track in July 2024. Papers accepted in this issue are part of the pool of presentation candidates in the research track of the ACM SIGMOD Conference on Management of Data 2025, to be held in Berlin, Germany.
Authors
- Joseph M. Hellerstein (ORCID: https://orcid.org/0000-0002-7712-4306)
- Azza Abouzied (ORCID: https://orcid.org/0000-0003-4273-2536)
- Divyakant Agrawal (ORCID: https://orcid.org/0000-0002-0215-9539)
Institutions
- New York University Abu Dhabi (AE)
- University of California, Santa Barbara (US)
- University of California, Berkeley (US)
Publication Details
- Journal
- Proceedings of the ACM on Management of Data
- Published
- 2025-02-10
- DOI
- https://doi.org/10.1145/3709651
- Primary Topic
- Data Quality and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00