Adaptive Selectivity Estimation Using Query Feedback
Summary: Adaptive selectivity estimation via query feedback using curve-fitting to approximate the real value distribution. No extra database access for statistics; continuous adaptation through queries and updates; accuracy comparable to traditional statistics-based methods. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Chungmin Melvin Chen (University of Maryland)
- 2. Nick Roussopoulos (University of Maryland)
BibTeX Citation
@inproceedings{chen_sigmod94,
title = {{Adaptive Selectivity Estimation Using Query Feedback}},
author = {Chen, Chungmin Melvin and Roussopoulos, Nick},
series = {{SIGMOD} '94},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/191839.191874},
url = {https://dl.acm.org/doi/10.1145/191839.191874},
year = {1994}
}
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