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
Link To Document