DBScholar

Back to papers

Minimally Factorizing the Provenance of Self-join Free Conjunctive Queries

Summary: Minimizes provenance factorization size for self-join-free conjunctive queries; NP-complete, but a PTIME class identified. ILP yields exact minimal factorization; MFMC offers fast approximations, linking factorizations to VEOs and minimal query plans. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
1967
Venue
PODS
Year
2024
Pagerank
5.4049137e-05
Overall Rank
8,599 | 41.01%
DOI
10.1145/3651605

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{makhija_pods24,
        address = {New York, NY, USA},
        series = {{PODS} '24},
        title = {{Minimally Factorizing the Provenance of Self-join Free Conjunctive Queries}},
        url = {https://dl.acm.org/doi/10.1145/3651605},
        doi = {10.1145/3651605},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Makhija, Neha and Gatterbauer, Wolfgang},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
10,639 Circuit Bounds for Conjunctive Queries with Self-joins 2025 PODS 5.093636e-05
10,652 Smallest Synthetic Witnesses for Conjunctive Queries 2025 PODS 5.093636e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers