DBLearn: A System Prototype for Knowledge Discovery in Relational Databases

Summary: DBLearn is a prototype data-mining system for relational databases, integrated with commercial RDBMS to extract rules. Interfaces, automatic concept-hierarchy refinement, and fast discovery; research extends to OO, deductive, and spatial DBs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 2775
Venue: SIGMOD
Year: 1994
Pagerank: 4.6961855e-05
Overall Rank: 7,612 | 47.05%
DOI: -

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
3,536	General purpose database summarization	2005	VLDB	6.9990821e-05

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
146	Knowledge Discovery in Databases: An Attribute-Oriented Approach	1992	VLDB	0.00041315295

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