Enhancing Database Correctness: A Statistical Approach

Summary: Proposes statistical constraints—probabilistic integrity rules that encode embedded attribute relations to improve database correctness. Outlines extraction and enforcement methods and offers a preliminary performance evaluation on a real-world DB, highlighting errors beyond conventional constraints. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 2803
Venue: SIGMOD
Year: 1995
Pagerank: 4.1905499e-05
Overall Rank: 12,809 | 10.98%
DOI: -

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Authors

1. Wen-Chi Hou
2. Zhongyang Zhang

Incoming Citations (Sorted by Pagerank)

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Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
13	Mining Association Rules between Sets of Items in Large Databases	1993	SIGMOD	0.0010863639
135	On Rules, Procedures, Caching And Views In Data Base Systems	1990	SIGMOD	0.0004273413
199	Active Databases as a Paradigm for Enhanced Computing Environments	1983	VLDB	0.00035058285
312	Efficient Monitoring of Database Assertions	1978	SIGMOD	0.00028102943
1,326	Implementing Large Production Systems in a DBMS Environment: Concepts and Algorithms	1988	SIGMOD	0.00012571381
1,550	ODE (Object Database and Environment): The Language and the Data Model	1989	SIGMOD	0.00011396754
1,779	A Model for Active Object Oriented Database	1991	VLDB	0.00010562903
2,106	Rule Condition Testing and Action Execution in Ariel	1992	SIGMOD	9.5297652e-05
6,389	Index Support for Rule Activation	1993	SIGMOD	5.079266e-05

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