Knowledge Discovery in Databases: An Attribute-Oriented Approach
Summary: Introduces attribute-oriented induction, combining concept-tree generalization with set-oriented database operations to efficiently mine generalized rules from relational, nested, and deductive databases. Supports noisy data and semantic query uses via the prototype DBLEARN. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jiawei Han (Simon Fraser University)
- 2. Yandong Cai (Simon Fraser University)
- 3. Nick Cercone (Simon Fraser University)
BibTeX Citation
@article{han_vldb92,
title = {{Knowledge Discovery in Databases: An Attribute-Oriented Approach}},
author = {Han, Jiawei and Cai, Yandong and Cercone, Nick},
journal = {PVLDB},
series = {{VLDB} '92},
pages = {547},
year = {1992}
}
Incoming Citations (Sorted by Pagerank)
Showing 13 of 13 citing papers.
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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 |
|---|---|---|---|---|
| 2,500 | Querying Database Knowledge | 1990 | SIGMOD | 8.4990921e-05 |
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| 7 | 14,222 | DBMiner: Interactive Mining of Multiple-Level Knowledge in Relational Databases | 1996 | SIGMOD |
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| 10 | 8,339 | DBLearn: A System Prototype for Knowledge Discovery in Relational Databases | 1994 | SIGMOD |