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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)

Paper ID
8102
Venue
VLDB
Year
1992
Pagerank
0.00041315295
Overall Rank
146 | 98.99%
DOI
-

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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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