Database Paper Browser

Back to papers

NeuroRule: A Connectionist Approach to Data Mining

Summary: NeuroRule leverages neural networks for classification in data mining; rules extracted from trained nets rival symbolic methods in conciseness and interpretability. Describes a rule-focused data mining process with experiments comparing to prior work. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8292
Venue
VLDB
Year
1995
Pagerank
5.4477778e-05
Overall Rank
5,542 | 61.45%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
473 Sampling Large Databases for Association Rules 1996 VLDB 0.0002233798
12,692 Decision Tables: Scalable Classification Exploring RDBMS Capabilities 2000 VLDB 4.1945683e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank Cited Paper Year Venue Pagerank
146 Knowledge Discovery in Databases: An Attribute-Oriented Approach 1992 VLDB 0.00041315295
230 An Interval Classifier for Database Mining Applications 1992 VLDB 0.00032217064
Previous Page 1 / 1 Next

Semantically Similar Papers