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Efficient Answering of Historical What-if Queries

Summary: Proposes historical what-if queries to quantify the impact of hypothetical history changes on current data. Uses reenactment with program and data slicing to prune irrelevant updates, enabling efficient evaluation of modified histories; implemented in Mahif and demonstrated experimentally. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6513
Venue
SIGMOD
Year
2022
Pagerank
6.5003306e-05
Overall Rank
4,805 | 67.04%
DOI
10.1145/3514221.3526138

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{campbell_sigmod22,
        title = {{Efficient Answering of Historical What-if Queries}},
        author = {Campbell, Felix S. and Arab, Bahareh Sadat and Glavic, Boris},
        series = {{SIGMOD} '22},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3514221.3526138},
        url = {https://dl.acm.org/doi/10.1145/3514221.3526138},
        year = {2022}
}

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