Database Paper Browser

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
1131
Venue
PODS
Year
1998
Pagerank
0.00010467197
Overall Rank
1,811 | 87.41%
DOI
-

Incoming Non-self Citations Over Time

Authors

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