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Conditional Selectivity for Statistics on Query Expressions
Summary: Frames SITs on query expressions with conditional selectivity, replacing view-matching to improve cardinality estimates. Proposes a DP algorithm to compute optimal conditional selectivities per query, enabling integration with minimal optimizer changes.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 3529
- Venue
- SIGMOD
- Year
- 2004
- Pagerank
- 6.8712579e-05
- Overall Rank
- 3,656 | 74.60%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 13 of 13 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 933 |
Flexible Database Generators |
2005 |
VLDB |
0.00015220613 |
| 2,359 |
Consistently Estimating the Selectivity of Conjuncts of Predicates |
2005 |
VLDB |
8.967267e-05 |
| 2,364 |
Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries |
2020 |
SIGMOD |
8.955077e-05 |
| 4,352 |
Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning |
2021 |
VLDB |
6.2542257e-05 |
| 5,506 |
Can Large Language Models Predict Data Correlations from Column Names? |
2023 |
VLDB |
5.4711611e-05 |
| 5,676 |
A Pay-As-You-Go Framework for Query Execution Feedback |
2008 |
VLDB |
5.3768269e-05 |
| 5,824 |
StatAdvisor: Recommending Statistical Views |
2009 |
VLDB |
5.311975e-05 |
| 5,846 |
Efficient Detection of Empty-Result Queries |
2006 |
VLDB |
5.3052255e-05 |
| 7,786 |
Relational Support for Flexible Schema Scenarios |
2008 |
VLDB |
4.6469243e-05 |
| 9,937 |
Fast Approximate Computation of Statistics on Views |
2006 |
SIGMOD |
4.2441896e-05 |
| 9,947 |
SSCard: Substring Cardinality Estimation using Suffix Tree-Guided Learned FM-Index |
2026 |
SIGMOD |
4.2391999e-05 |
| 10,647 |
Cardinality Estimation for Having-Clauses |
2025 |
VLDB |
4.1905499e-05 |
| 12,316 |
Filtered Statistics |
2009 |
SIGMOD |
4.1905499e-05 |
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.
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