A dual-objective evolutionary algorithm for rules extraction in data mining

DOI10.1007/S10589-005-3907-9zbMath1121.90129OpenAlexW2026413420MaRDI QIDQ853550

N. E. Zubov

Publication date: 17 November 2006

Published in: Computational Optimization and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10589-005-3907-9

zbMATH Keywords

classificationdata miningevolutionary algorithmrules extraction

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (2)

MEPAR-miner: Multi-expression programming for classification rule mining ⋮ A coevolutionary algorithm for rules discovery in data mining

Uses Software

• UCI-ml
• C4.5

Cites Work

• Three-objective genetics-based machine learning for linguistic rule extraction
• Rule extraction from trained neural networks using genetic algorithms
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