DBScholar

Back to papers

A Cost Model for Similarity Queries in Metric Spaces

Summary: Cost model for range and k-NN in metric spaces estimating CPU (distance computations) and I/O for M-tree by using global distance distributions under a probabilistic homogeneity assumption. Validated empirically; enables M-tree tuning and sketched extension to vp-tree. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1130
Venue
PODS
Year
1998
Pagerank
9.1657486e-05
Overall Rank
2,101 | 85.59%
DOI
10.1145/275487.275495

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{ciaccia_pods98,
        address = {New York, NY, USA},
        series = {{PODS} '98},
        title = {{A Cost Model for Similarity Queries in Metric Spaces}},
        url = {https://dl.acm.org/doi/10.1145/275487.275495},
        doi = {10.1145/275487.275495},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Ciaccia, Paolo and Patella, Marco and Zezula, Pavel},
        year = {1998}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers