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Indexing the Edges – A simple and yet efficient approach to high-dimensional indexing

Summary: iMinMax(θ): a tunable index mapping d‑dim points to one dimension via each point's min/max coordinate under knob θ, producing adaptable 1D embeddings. Range queries become ≤d 1D subqueries with pruning; simple approach empirically outperforms Pyramid. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1205
Venue
PODS
Year
2000
Pagerank
5.744549e-05
Overall Rank
6,894 | 52.71%
DOI
10.1145/335168.335219

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{ooi_pods00,
        address = {New York, NY, USA},
        series = {{PODS} '00},
        title = {{Indexing the Edges – A simple and yet efficient approach to high-dimensional indexing}},
        url = {https://dl.acm.org/doi/10.1145/335168.335219},
        doi = {10.1145/335168.335219},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Ooi, Beng Chin and Tan, Kian-Lee and Yu, Cui and Bressan, Stephane},
        year = {2000}
}

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