Relation Data Model with Cause-Effect Association
Summary: RCEAS augments a small relational DBMS with a logic-based Cause-Effect Association from the SAM model. It derives new rules and assertions and supports bidirectional inference—identifying effects from causes and causes from effects. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Qingda Yao (Sun Yat-Sen University)
- 2. Yi Rong (Sun Yat-Sen University)
BibTeX Citation
@article{yao_vldb86,
title = {{Relation Data Model with Cause-Effect Association}},
author = {Yao, Qingda and Rong, Yi},
journal = {PVLDB},
series = {{VLDB} '86},
pages = {375},
year = {1986}
}
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