DBMiner: Interactive Mining of Multiple-Level Knowledge in Relational Databases

Summary: DBMiner enables interactive multi-level knowledge mining in relational DBs. Offers generalization, characterization, association, and prediction; uses attribute-oriented induction, progressive deepening for multi-level rules, and meta-rule guided mining. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 2922
Venue: SIGMOD
Year: 1996
Pagerank: -
Overall Rank: 14,023 | 2.45%
DOI: -

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Rank	Citing Paper	Year	Venue	Pagerank

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

Rank	Cited Paper	Year	Venue	Pagerank
227	Discovery of Multiple-Level Association Rules from Large Databases	1995	VLDB	0.00032284058

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