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Selectivity Estimation in Extensible Databases - A Neural Network Approach

Summary: Neural-network selectivity estimation for predicates over multidimensional, nonnumeric user-defined types, where histograms are ineffective. Incrementally refined with operational feedback and validated in an Informix Universal Server administration tool. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
8715
Venue
VLDB
Year
1998
Pagerank
8.8129279e-05
Overall Rank
2,281 | 84.36%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{lakshmi_vldb98,
        title = {{Selectivity Estimation in Extensible Databases - A Neural Network Approach}},
        author = {Lakshmi, Seetha and Zhou, Shaoyu},
        journal = {PVLDB},
        series = {{VLDB} '98},
        year = {1998}
}

Incoming Citations (Sorted by Pagerank)

Showing 12 of 12 citing papers.

Rank Citing Paper Year Venue Pagerank
84 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035838391
323 DeepDB: Learn from Data, not from Queries! 2020 VLDB 0.00021264788
697 Selectivity Estimation for Range Predicates using Lightweight Models 2019 VLDB 0.00014888851
1,061 Are We Ready For Learned Cardinality Estimation? 2021 VLDB 0.00012369764
1,573 Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries 2020 SIGMOD 0.00010328171
2,991 FactorJoin: A New Cardinality Estimation Framework for Join Queries 2023 SIGMOD 7.8880723e-05
3,162 Efficiently Approximating Selectivity Functions using Low Overhead Regression Models 2020 VLDB 7.6785856e-05
3,338 Robust Query Driven Cardinality Estimation under Changing Workloads 2023 VLDB 7.5068221e-05
3,545 Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning 2021 VLDB 7.3249967e-05
4,264 A Method for Optimizing Opaque Filter Queries 2020 SIGMOD 6.7937529e-05
7,290 Learning to be a Statistician: Learned Estimator for Number of Distinct Values 2022 VLDB 5.6540503e-05
9,867 SPACE: Cardinality Estimation for Path Queries Using Cardinality-Aware Sequence-based Learning 2025 SIGMOD 5.2043672e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

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

Rank Cited Paper Year Venue Pagerank
35 Improved Histograms for Selectivity Estimation of Range Predicates 1996 SIGMOD 0.00048481081
75 Sampling-Based Estimation of the Number of Distinct Values of an Attribute 1995 VLDB 0.00037277061
132 Predicate Migration: Optimizing Queries with Expensive Predicates 1993 SIGMOD 0.00030378624
222 Adaptive Selectivity Estimation Using Query Feedback 1994 SIGMOD 0.00024193708
274 Balancing Histogram Optimality and Practicality for Query Result Size Estimation 1995 SIGMOD 0.00022645621
339 Sequential Sampling Procedures For Query Size Estimation 1992 SIGMOD 0.00020723773
650 The Sequoia 2000 Storage Benchmark 1993 SIGMOD 0.00015319951
1,140 Estimating Alphanumeric Selectivity in the Presence of Wildcards 1996 SIGMOD 0.0001200574
1,172 An Instant and Accurate Size Estimation Method for Joins and Selection in a Retrieval-Intensive Environment 1993 SIGMOD 0.00011825923
1,373 A Model for the Prediction of R-tree Performance 1996 PODS 0.0001098638
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# Overall Rank Paper Year Venue
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4 934 Selectivity Estimation and Query Optimization in Large Databases with Highly Skewed Distributions of Column Values 1988 VLDB
5 280 Selectivity Estimation using Probabilistic Models 2001 SIGMOD
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7 3,162 Efficiently Approximating Selectivity Functions using Low Overhead Regression Models 2020 VLDB
8 9,793 Selectivity Estimation for Queries Containing Predicates over Set-Valued Attributes 2023 SIGMOD
9 1,573 Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries 2020 SIGMOD
10 697 Selectivity Estimation for Range Predicates using Lightweight Models 2019 VLDB