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Reverse Engineering SPJ-Queries from Examples

Summary: Reverse-engineer SPJ queries from positive/negative examples: decide satisfiability (exists SPJ returning all positives and no negatives) and learn such a query. Presents a fine-grained classical and parameterized complexity landscape across operator subsets, schema/query/example sizes (bounded vs unbounded), proving new W[3]-completeness results and implications for avoiding overfitting. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1724
Venue
PODS
Year
2017
Pagerank
6.0270157e-05
Overall Rank
4,636 | 67.79%
DOI
10.1145/3034786.3056112

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Showing 5 of 5 cited papers.

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

Rank Cited Paper Year Venue Pagerank
432 On the Complexity of Database Queries (Extended Abstract) 1997 PODS 0.00023349408
491 Query by Output 2009 SIGMOD 0.00021960753
1,124 How to ConQueR Why-Not Questions 2010 SIGMOD 0.00013832959
1,575 Reverse Engineering Complex Join Queries 2013 SIGMOD 0.00011288804
2,751 Learning and Verifying Quantified Boolean Queries by Example 2013 PODS 8.1725194e-05
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