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 :
بازگشت