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Learning Efficient Query Processing Strategies

Summary: Learns query-processor strategies by logging rule-path success rates to reorder rule evaluation and retrievals, lowering expected query-processing cost. PIB hill-climbs to probable improvements; PAO yields PAC-style approximate optima; includes unobtrusive implementations, complexity bounds and statistical correctness proofs. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
952
Venue
PODS
Year
1992
Pagerank
5.093636e-05
Overall Rank
13,076 | 10.29%
DOI
10.1145/137097.137106

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Authors

BibTeX Citation

@inproceedings{greiner_pods92,
        address = {New York, NY, USA},
        series = {{PODS} '92},
        title = {{Learning Efficient Query Processing Strategies}},
        url = {https://dl.acm.org/doi/10.1145/137097.137106},
        doi = {10.1145/137097.137106},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Greiner, Russell},
        year = {1992}
}

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