Estimating Join Selectivities using Bandwidth-Optimized Kernel Density Models
Summary: Bandwidth-optimized KDE for join selectivity; builds from join-result samples and combines base-table KDEs for single- and multi-join cardinalities. Outperforms sketching and sampling baselines on synthetic and real data with GPU-efficient evaluation. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Martin Kiefer (Technical University of Berlin)
- 2. Max Heimel (Snowflake)
- 3. Sebastian Breß (German National Research Center for Information Technology; Technical University of Berlin)
- 4. Volker Markl (German National Research Center for Information Technology; Technical University of Berlin)
BibTeX Citation
@article{kiefer_vldb17,
title = {{Estimating Join Selectivities using Bandwidth-Optimized Kernel Density Models}},
author = {Kiefer, Martin and Heimel, Max and Breß, Sebastian and Markl, Volker},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {13},
pages = {2085--2096},
doi = {10.14778/3137765.3137767},
url = {https://doi.org/10.14778/3137765.3137767},
year = {2017}
}
Incoming Citations (Sorted by Pagerank)
Showing 26 of 26 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 22 of 22 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
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 1,536 | Improved Selectivity Estimation by Combining Knowledge from Sampling and Synopses | 2018 | VLDB |
| 2 | 3,309 | Conditional Selectivity for Statistics on Query Expressions | 2004 | SIGMOD |
| 3 | 1,499 | Pessimistic Cardinality Estimation: Tighter Upper Bounds for Intermediate Join Cardinalities | 2019 | SIGMOD |
| 4 | 1,664 | Two-Level Sampling for Join Size Estimation | 2017 | SIGMOD |
| 5 | 694 | Cardinality Estimation Done Right: Index-Based Join Sampling | 2017 | CIDR |
| 6 | 2,991 | FactorJoin: A New Cardinality Estimation Framework for Join Queries | 2023 | SIGMOD |
| 7 | 4,846 | A Comparison of Selectivity Estimators for Range Queries on Metric Attributes | 1999 | SIGMOD |
| 8 | 1,573 | Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries | 2020 | SIGMOD |
| 9 | 280 | Selectivity Estimation using Probabilistic Models | 2001 | SIGMOD |
| 10 | 1,503 | Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation | 2015 | SIGMOD |