On the Analysis of Indexing Schemes
Summary: Introduces a formal framework for indexing workloads (dataset + query set) that quantifies efficiency via storage redundancy and access overhead. Presents upper and lower bounds and trade-offs for multi-dimensional range and set-query indexing. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Joseph M. Hellerstein (University of California Berkeley)
- 2. Elias Koutsoupias (University of California Los Angeles)
- 3. Christos H. Papadimitriou (University of California Berkeley)
BibTeX Citation
@inproceedings{hellerstein_pods97,
address = {New York, NY, USA},
series = {{PODS} '97},
title = {{On the Analysis of Indexing Schemes}},
url = {https://dl.acm.org/doi/10.1145/263661.263688},
doi = {10.1145/263661.263688},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Hellerstein, Joseph M. and Koutsoupias, Elias and Papadimitriou, Christos H.},
year = {1997}
}
Incoming Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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