IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-662-43871-8_74.html
   My bibliography  Save this book chapter

ID3 Algorithms for Strategy of Air Cargo Customer Segmentation

In: Liss 2014

Author

Listed:
  • Li Cheng

    (Shanghai University of Engineering Science
    Donghua University)

Abstract

In order to improve service efficiency, this paper brings forward analytical CRM study based on ID3 Algorithms in China’s air cargo industry. The aim of this paper is to provide an analytical CRM solution with strong decision support function by integrating CRM with technologies of data warehouse, OLAP and data mining. The using of data mining could not always stand on the level of algorithms and models. Data mining should connect with the air cargo business conditions so as to dig out useful rules. This paper classifies the air cargo customers by the methods of ID3 Algorithms, so as to forecast customer’s leaving and making decision.

Suggested Citation

  • Li Cheng, 2015. "ID3 Algorithms for Strategy of Air Cargo Customer Segmentation," Springer Books, in: Zhenji Zhang & Zuojun Max Shen & Juliang Zhang & Runtong Zhang (ed.), Liss 2014, edition 127, pages 511-516, Springer.
  • Handle: RePEc:spr:sprchp:978-3-662-43871-8_74
    DOI: 10.1007/978-3-662-43871-8_74
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Keywords

    ID3; Air Cargo; Segmentation;
    All these keywords.

    JEL classification:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-662-43871-8_74. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.