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

  • Jie Liu*
  • , Junping Du
  • , Zengqi Sun
  • , Yingming Jia
  • *Corresponding author for this work
  • Beijing University of Posts and Telecommunications
  • Tsinghua University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2010 International Conference on Networking, Sensing and Control, ICNSC 2010
Pages238-242
Number of pages5
DOIs
StatePublished - 2010
Event2010 International Conference on Networking, Sensing and Control, ICNSC 2010 - Chicago, IL, United States
Duration: 10 Apr 201012 Apr 2010

Publication series

Name2010 International Conference on Networking, Sensing and Control, ICNSC 2010

Conference

Conference2010 International Conference on Networking, Sensing and Control, ICNSC 2010
Country/TerritoryUnited States
CityChicago, IL
Period10/04/1012/04/10

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