@inproceedings{e2496197d7194ff59df50ae40c666d6b,
title = "The HIV data mining tool for government decision-making support",
abstract = "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.",
keywords = "DM tool, Decision support, Dynamical model, HIV epidemic",
author = "Huijun Liu and Qunying Xiao and Zhengwei Zhu",
year = "2007",
doi = "10.1007/978-3-540-77018-3\_15",
language = "英语",
isbn = "354077016X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "131--141",
booktitle = "Emerging Technologies in Knowledge Discovery and Data Mining - PAKDD 2007 International Workshops, Revised Selected Papers",
note = "Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007 ; Conference date: 22-05-2007 Through 22-05-2007",
}