• DocumentCode
    2324562
  • Title

    Tourism emergency data mining and intelligent prediction based on networking autonomic system

  • Author

    Liu, Jie ; Du, Junping ; Sun, Zengqi ; Jia, Yingming

  • Author_Institution
    Sch. of Comput. Sci., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2010
  • fDate
    10-12 April 2010
  • Firstpage
    238
  • Lastpage
    242
  • Abstract
    This paper introduces the key technologies and tourism applications of networking autonomic system. The paper focuses especially in the theories, architectures and algorithms being used. It discusses the requirements for networking autonomic system in China and introduces a data mining and intelligent predicting system of tourism emergency based on networking autonomic system, which concentrates on the methods, such as quantum immune clone, multi-level and multi-scale prediction model and local/global coordination mechanism of agent, in tourism data mining process.
  • Keywords
    data mining; fault tolerant computing; travel industry; China; intelligent predicting system; local-global coordination agent mechanism; multilevel prediction model; multiscale prediction model; networking autonomic system; quantum immune clone; tourism emergency data mining process; Computer science; Control systems; Data mining; Electronic mail; Intelligent networks; Intelligent robots; Intelligent systems; Orbital robotics; Paper technology; Sun;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking, Sensing and Control (ICNSC), 2010 International Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4244-6450-0
  • Type

    conf

  • DOI
    10.1109/ICNSC.2010.5461495
  • Filename
    5461495