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Optimal Indexing Using Near-Minimal Space [Extended Abstract]

Summary: Index selection under space budget B: algorithm builds indices using O(B log m) space w.h.p. and attains average query cost opt_B (the optimum under space ≤B). Prove necessity: unless NP⊆n^{O(log log n)}, no poly-time algorithm using αB space attains cost < M^{1−ε}·opt_B, and quantify sampling error. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1295
Venue
PODS
Year
2003
Pagerank
5.7836523e-05
Overall Rank
6,753 | 53.67%
DOI
10.1145/773153.773177

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{heeren_pods03,
        address = {New York, NY, USA},
        series = {{PODS} '03},
        title = {{Optimal Indexing Using Near-Minimal Space [Extended Abstract]}},
        url = {https://dl.acm.org/doi/10.1145/773153.773177},
        doi = {10.1145/773153.773177},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Heeren, C. and Jagadish, H. V. and Pitt, L.},
        year = {2003}
}

Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
7,896 Optimizing Index for Taxonomy Keyword Search 2012 SIGMOD 5.5201308e-05
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