A genetic algorithm approach to optimising random forests applied to class engineered data

Eyad Elyan*, Mohamed Medhat Gaber

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    58 Citations (SciVal)
    Original languageEnglish
    Pages (from-to)220-234
    Number of pages15
    JournalInformation Sciences
    Volume384
    DOIs
    Publication statusPublished (VoR) - 1 Apr 2017

    Keywords

    • Class decomposition
    • Genetic algorithm
    • Life science
    • Random forests

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