Pre-training Summarization Models of Structured Datasets for Cardinality Estimation

Summary: Pre-trained models convert structured datasets into compact summaries for cardinality estimation, eliminating per-dataset training and speeding up summary construction up to 100x. Uses multiple summaries per dataset and learned summaries for hard columnsets; shows shared frequency and correlation patterns learned from a diverse corpus with incremental updates. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 12919
Venue: VLDB
Year: 2022
Pagerank: 5.0892829e-05
Overall Rank: 6,365 | 55.77%
DOI: 10.14778/3494124.3494127

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 10 of 10 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
5,373	Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing	2022	VLDB	5.5410059e-05
5,412	Kepler: Robust Learning for Faster Parametric Query Optimization	2023	SIGMOD	5.5200608e-05
6,687	How Good are Learned Cost Models, Really? Insights from Query Optimization Tasks	2025	SIGMOD	4.957987e-05
7,118	ASM: Harmonizing Autoregressive Model, Sampling, and Multi-dimensional Statistics Merging for Cardinality Estimation	2024	SIGMOD	4.8204951e-05
8,585	A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning	2024	VLDB	4.4856045e-05
8,847	Towards Foundation Database Models	2025	CIDR	4.4329366e-05
9,690	Selectivity Estimation for Queries Containing Predicates over Set-Valued Attributes	2023	SIGMOD	4.2994116e-05
9,845	Path-centric Cardinality Estimation for Subgraph Matching	2025	VLDB	4.2680295e-05
9,877	PRICE: A Pretrained Model for Cross-Database Cardinality Estimation	2025	VLDB	4.2615675e-05
10,219	Practical Parameterized Query Optimization via Efficient Plan Reuse and List-wise Ranking	2026	SIGMOD	4.1905499e-05

Outgoing Citations (Sorted by Pagerank)

Showing 21 of 21 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
71	How Good Are Query Optimizers, Really?	2016	VLDB	0.00059446482
101	The Case for Learned Index Structures	2018	SIGMOD	0.00049778866
168	Approximate Frequency Counts over Data Streams	2002	VLDB	0.0003915627
203	Learned Cardinalities: Estimating Correlated Joins with Deep Learning	2019	CIDR	0.00034868567
223	Wavelet-Based Histograms for Selectivity Estimation	1998	SIGMOD	0.00032829841
224	CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies	2004	SIGMOD	0.00032743209
325	The History of Histograms (abridged)	2003	VLDB	0.00027398081
329	Neo: A Learned Query Optimizer	2019	VLDB	0.00027301488
373	Selectivity Estimation using Probabilistic Models	2001	SIGMOD	0.00025354685
380	Towards Estimation Error Guarantees for Distinct Values	2000	PODS	0.00024943236
416	Approximate Query Processing Using Wavelets	2000	VLDB	0.00023773968
512	STHoles: A Multidimensional Workload-Aware Histogram	2001	SIGMOD	0.00021385343
606	DeepDB: Learn from Data, not from Queries!	2020	VLDB	0.00019251186
737	On Synopses for Distinct-Value Estimation Under Multiset Operations	2007	SIGMOD	0.00017377393
752	Deep Unsupervised Cardinality Estimation	2020	VLDB	0.00017138049
838	Independence is Good: Dependency-Based Histogram Synopses for High-Dimensional Data	2001	SIGMOD	0.00016024923
905	NeuroCard: One Cardinality Estimator for All Tables	2021	VLDB	0.00015423174
1,239	Selectivity Estimation for Range Predicates using Lightweight Models	2019	VLDB	0.00013091459
1,400	Wavelet Synopses with Error Guarantees	2002	SIGMOD	0.0001219602
1,536	Lightweight Graphical Models for Selectivity Estimation Without Independence Assumptions	2011	VLDB	0.00011458359
2,167	Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation	2015	SIGMOD	9.3879598e-05

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