IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v14y2023i2d10.1007_s13198-021-01328-z.html
   My bibliography  Save this article

Clue mining based on the online gambling intelligent robot customer service platform

Author

Listed:
  • Gang Li

    (Guangxi Police College)

Abstract

In order to improve the efficiency of online gambling case detection, this paper uses the decision tree algorithm as the basis to use the data features of the online gambling intelligent robot customer service platform to improve the algorithm. The system uses whether the player uses to access the accused website and whether the player has a gambling history as the trigger condition. The user management and data analysis layer are common interfaces for the interaction between users and the system, and the user's authority can be determined through the division of user authority management, and the relevant early warning information can be analyzed and decided through the interactive interface. The result of the suspect calculated by the decision tree is output to the result evaluation sub-module, and various scenarios can be set through the threshold in the module. After constructing the system model, the model is tested and researched. From the test results, it can be seen that the system constructed in this paper meets the needs of online gambling case investigation.

Suggested Citation

  • Gang Li, 2023. "Clue mining based on the online gambling intelligent robot customer service platform," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(2), pages 602-612, April.
    • Handle: RePEc:spr:ijsaem:v:14:y:2023:i:2:d:10.1007_s13198-021-01328-z
    DOI: 10.1007/s13198-021-01328-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-021-01328-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13198-021-01328-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Charles Livingstone & Peter Adams & Rebecca Cassidy & Francis Markham & Gerda Reith & Angela Rintoul & Natasha Dow Schüll & Richard Woolley & Martin Young, 2018. "On gambling research, social science and the consequences of commercial gambling," International Gambling Studies, Taylor & Francis Journals, vol. 18(1), pages 56-68, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      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:ijsaem:v:14:y:2023:i:2:d:10.1007_s13198-021-01328-z. 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.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.