DocumentCode
2176189
Title
Dynamic Clustering Analysis of Expert Instances with XML Structural Based on the Particle Swarm Algorithm
Author
Zeng Jun
Author_Institution
Yangtze Normal Univ., Chongqing, China
fYear
2010
fDate
24-26 Aug. 2010
Firstpage
1
Lastpage
3
Abstract
This article dynamically analyzes large scale XML documents of experts´ instances according to thought of particle swarm and algorithm of dynamical cluster. It can quickly find out the same or similar experts´ instances in Long-distance Medical System, so it improved the efficiency and accuracy of the querying, and provided us a new thinking for future instance studying in Long-distance Medical System.
Keywords
XML; data analysis; medical information systems; particle swarm optimisation; statistical analysis; XML document; dynamic clustering analysis; expert instance; extensible markup language; long-distance medical system; particle swarm algorithm; Accuracy; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Heuristic algorithms; Particle swarm optimization; XML;
fLanguage
English
Publisher
ieee
Conference_Titel
Management and Service Science (MASS), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5325-2
Electronic_ISBN
978-1-4244-5326-9
Type
conf
DOI
10.1109/ICMSS.2010.5577291
Filename
5577291
Link To Document