An Information-theoretic approach for setting the optimal number of decision trees in random forests

Alfredo Cuzzocrea, Shane Leo Francis, Mohamed Medhat Gaber

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    21 Citations (SciVal)
    Original languageEnglish
    Title of host publicationProceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
    Pages1013-1019
    Number of pages7
    DOIs
    Publication statusPublished (VoR) - 2013
    Event2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013 - Manchester, United Kingdom
    Duration: 13 Oct 201316 Oct 2013

    Publication series

    NameProceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013

    Conference

    Conference2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
    Country/TerritoryUnited Kingdom
    CityManchester
    Period13/10/1316/10/13

    Keywords

    • Data classification
    • Data mining
    • Ensemble classification
    • Information gain
    • Predictive power
    • Random forests

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