DBScholar

Back to papers

Apollo: A Dataset Profiling and Operator Modeling System

Summary: Apollo: a dataset profiling and operator modeling system for data-management tasks. It quantifies dataset similarities, embeds them in a low-dimensional space, and estimates analytics operator outputs for all inputs using ML with a small sample of executions. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5790
Venue
SIGMOD
Year
2019
Pagerank
5.7303405e-05
Overall Rank
6,965 | 52.22%
DOI
10.1145/3299869.3320220

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{bakogiannis_sigmod19,
        title = {{Apollo: A Dataset Profiling and Operator Modeling System}},
        author = {Bakogiannis, Tasos and Giannakopoulos, Ioannis and Tsoumakos, Dimitrios and Koziris, Nectarios},
        series = {{SIGMOD} '19},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3299869.3320220},
        url = {https://dl.acm.org/doi/10.1145/3299869.3320220},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank Cited Paper Year Venue Pagerank
22 Data Integration: A Theoretical Perspective 2002 PODS 0.00056204792
3,930 Data Canopy: Accelerating Exploratory Statistical Analysis 2017 SIGMOD 7.0102082e-05
Previous Page 1 / 1 Next

Semantically Similar Papers