Discovering gene association networks by multi-objective evolutionary quantitative association rules

DOI10.1016/J.JCSS.2013.03.010zbMath1311.68140OpenAlexW1967160581MaRDI QIDQ394998

I. A. Nepomuceno-Chamorro, María Martínez-Ballesteros, José C. Riquelme

Publication date: 28 January 2014

Published in: Journal of Computer and System Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jcss.2013.03.010

zbMATH Keywords

data mininggene networksmulti-objective evolutionary algorithmsmicroarray analysisquantitative association rules

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Genetics and epigenetics (92D10)

Related Items (1)

A survey of evolutionary computation for association rule mining

Uses Software

• SPEA2
• ARACNE
• MODENAR

Cites Work

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• Rough particle swarm optimization and its applications in data mining
• A conditional independence algorithm for learning undirected graphical models
• Visualizing and fuzzy filtering for discovering temporal trajectories of association rules
• Mining optimized association rules for numeric attributes
• Set-oriented data mining in relational databases
• Data mining. Concepts and techniques

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