| Autor: |
Carbonell, Jaime G., Siekmann, Jörg, Washio, Takashi, Zhi-Hua Zhou, Joshua Zhexue Huang, Xiaohua Hu, Jinyan Li, Chao Xie, Jieyue He, Deqing Zou, Kuan-Ching Li, Freire, Mário M., Huijun Liu, Qunying Xiao, Zhengwei Zhu |
| Zdroj: |
Emerging Technologies in Knowledge Discovery & Data Mining; 2007, p131-141, 11p |
| Abstrakt: |
To explore more effective policies on HIV epidemic control, this paper designs a new HIV data mining tool for decision-making support at the basis of SIR epidemic dynamical model, and then make it operate in the context of Shenzhen China from 1992 to 2005. Its predicting function proves power and effective by comparing with GM(1,1) model and general dynamical model, and its identifying function and prioritizing function also pass the test in Shenzhen context. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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