This research paper is exploring the application of classification data mining algorithms on specific data. The data set used in this paper is open and available to everyone, it contains several attributes that are measuring the overall quality of the flight. The main aim of the paper is to explore the effect of different flight attributes on the overall satisfaction of the passenger.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Predicting Satisfaction of Airline Passengers Using Classification


    Beteiligte:
    Hibovic, Lamija (Autor:in) / Smajic, Selma (Autor:in) / Yaman, Emine (Autor:in)


    Erscheinungsdatum :

    20.10.2022


    Format / Umfang :

    1444399 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Analysis of Airline Passengers’ Satisfaction in Multiple Dimensions

    A V, Keerthana / A S, Surabhi / S, Supreeth et al. | IEEE | 2024


    SEAT CUSHION FOR AIRLINE PASSENGERS

    WILSON SUSAN / LANDI CURTIS | Europäisches Patentamt | 2018

    Freier Zugriff

    SEAT CUSHION FOR AIRLINE PASSENGERS

    WILSON SUSAN L / LANDI CURTIS L | Europäisches Patentamt | 2021

    Freier Zugriff

    Seat cushion for airline passengers

    WILSON SUSAN / LANDI CURTIS | Europäisches Patentamt | 2022

    Freier Zugriff