Title :
Dynamic Clustering Analysis of Expert Instances with XML Structural Based on the Particle Swarm Algorithm
Author_Institution :
Yangtze Normal Univ., Chongqing, China
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;
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
DOI :
10.1109/ICMSS.2010.5577291
