Knowledge Discovery in Databases: An Attribute-Oriented Approach
Summary: Attribute-oriented induction combines learning-from-examples with set-oriented DB operations to generalize data. Concept-tree ascension cuts computation, enabling discovery of characteristic, discrimination, quantitative rules and data-evolution regularities across relational, nested, and deductive DBs; DBLEARN. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jiawei Han
- 2. Yandong Cai
- 3. Nick Cercone
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by 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 |
|---|---|---|---|---|
| 380 | Querying Database Knowledge | 1990 | SIGMOD | 0.00024933189 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,861 | Machine Learning for Databases | 2021 | VLDB | 5.298883e-05 |
| 380 | Querying Database Knowledge | 1990 | SIGMOD | 0.00024933189 |
| 227 | Discovery of Multiple-Level Association Rules from Large Databases | 1995 | VLDB | 0.00032284058 |
| 12,249 | Mining Knowledge from Databases: An Information Network Analysis Approach | 2010 | SIGMOD | 4.1945683e-05 |
| 608 | DeepDB: Learn from Data, not from Queries! | 2020 | VLDB | 0.00019235898 |
| 4,758 | Optimization for Active Learning-based Interactive Database Exploration | 2019 | VLDB | 5.9422515e-05 |
| 14,023 | DBMiner: Interactive Mining of Multiple-Level Knowledge in Relational Databases | 1996 | SIGMOD | - |
| 14,020 | Data Mining Techniques | 1996 | SIGMOD | - |
| 3,823 | Automatic Discovery of Attributes in Relational Databases | 2011 | SIGMOD | 6.7261168e-05 |
| 7,612 | DBLearn: A System Prototype for Knowledge Discovery in Relational Databases | 1994 | SIGMOD | 4.6961855e-05 |