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Making DBMSes Dependency-Aware

Summary: Attach mined dependencies (exact/approximate FDs, conditional, inclusion) to tables as first-class, queryable, pre-mined objects. Provide a declarative API to navigate large dependency collections and enable dependency-aware querying/analysis (filter by deps, find FD violators, project determinators), integrating mining and the DBMS. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
375
Venue
CIDR
Year
2020
Pagerank
5.093636e-05
Overall Rank
11,743 | 19.44%
DOI
-

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Authors

BibTeX Citation

@inproceedings{chernishev_cidr20,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '20},
        title = {{Making DBMSes Dependency-Aware}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Chernishev, George},
        year = {2020}
}

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

Rank Cited Paper Year Venue Pagerank
618 A Hybrid Approach to Functional Dependency Discovery 2016 SIGMOD 0.00015711835
1,374 Data Profiling with Metanome 2015 VLDB 0.00010986078
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