OPTIMONOTONE MEASURES FOR OPTIMAL RULE DISCOVERY

DOI10.1111/j.1467-8640.2012.00422.xzbMath1274.68330OpenAlexW1943509927MaRDI QIDQ2857284

Philippe Lenca, Yannick le Bras, Stéphane Lallich

Publication date: 1 November 2013

Published in: Computational Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-8640.2012.00422.x

zbMATH Keywords

interestingness measuresrule discoveryoptimal rule setoptimonotone measures

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Information storage and retrieval of data (68P20)

Uses Software

• CorClass
• UCI-ml
• CMAR

Cites Work

• Statistical implicative analysis. Theory and applications
• Measures of ruleset quality for general rules extraction methods
• On selecting interestingness measures for association rules: user oriented description and multiple criteria decision aid
• A probabilistic framework towards the parameterization of association rule interestingness measures
• The GUHA method of automatic hypotheses determination
• Problems for knowledge discovery in databases and their treatment in the statistics interpreter explora
• Discovery Science
• Knowledge Discovery in Inductive Databases
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: OPTIMONOTONE MEASURES FOR OPTIMAL RULE DISCOVERY