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    Passenger Classification for an Airport Movement Forecast System

    Access Status
    Fulltext not available
    Authors
    Richter, S.
    Ortmann, C.
    Reiners, Torsten
    Date
    2009
    Type
    Conference Paper
    
    Metadata
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    Citation
    Richter, Stefan and Ortmann, Christoph and Reiners, Torsten. 2009. Passenger Classification for an Airport Movement Forecast System, in Ao, S.I. and Castillo, O. and Douglas, C. and Fent, D.D. and Lee, J. (ed), Proceedings of the International MultiConference of Engineers and Computer Scientists 2009, Mar 18-20 2009, pp. 676-683. Hong Kong: International Association of Engineers.
    Source Title
    Proceedings of the international multiconference of engineers and computer scientists 2009
    Source Conference
    International multiconference of engineers and computer scientists 2009
    ISBN
    9789881701220
    School
    School of Information Systems
    URI
    http://hdl.handle.net/20.500.11937/48212
    Collection
    • Curtin Research Publications
    Abstract

    With new services provided by airlines and travel agencies passengers gained more flexibility, but also their visibility for airports and airlines was decreased. We describe the profiling component of a movement forecast system to increase passenger transparency. Therefore we present three approaches to learning classifiers and how they can be used for passenger classification. It is shown how the choice of attributes considered in classification influences classifier performance. This is used as a comparison criterion for learning algorithms.

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