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Accommodating Exceptions In Databases, And Refining The Schema By Learning From Them

Summary: Accommodate exceptional information—data that violate schema constraints—without reworking the database system. Proposes a learning-based DBA assistant that generalizes from observed exceptions to refine integrity constraints and schema definitions, enabling flexible schema evolution. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7689
Venue
VLDB
Year
1985
Pagerank
0.00013150232
Overall Rank
1,231 | 91.44%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
25 Dependency Inference (Extended Abstract) 1987 VLDB 0.00083101742
12,933 NON-MONOTONIC KNOWLEDGE EVOLUTION IN VLKDBs 1990 VLDB 4.1945683e-05
12,965 Management Of Complex Objects As Dynamic Forms 1988 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank Cited Paper Year Venue Pagerank
12 The Functional Data Model and the Data Language DAPLEX 1979 SIGMOD 0.0011248121
1,068 Storage and Access Structures to Support a Semantic Data Model 1982 VLDB 0.00014323478
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