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: 2837
Venue: SIGMOD
Year: 1994
Pagerank: 5.4507938e-05
Overall Rank: 8,339 | 42.79%
DOI: 10.1145/191839.191979

Incoming Non-self Citations Over Time

Authors

1. Jiawei Han (Simon Fraser University)
2. Yongjian Fu (Simon Fraser University)
3. Yue Huang (Simon Fraser University)
4. Yandong Cai (Simon Fraser University)
5. Nick Cercone (Simon Fraser University; University of Regina)

BibTeX Citation

@inproceedings{han_sigmod94,
        title = {{DBLearn: A System Prototype for Knowledge Discovery in Relational Databases}},
        author = {Han, Jiawei and Fu, Yongjian and Huang, Yue and Cai, Yandong and Cercone, Nick},
        series = {{SIGMOD} '94},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/191839.191979},
        url = {https://dl.acm.org/doi/10.1145/191839.191979},
        year = {1994}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
4,957	General purpose database summarization	2005	VLDB	6.4288409e-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
349	Knowledge Discovery in Databases: An Attribute-Oriented Approach	1992	VLDB	0.00020432737

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