The HIV data mining tool for government decision-making support

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationEmerging Technologies in Knowledge Discovery and Data Mining - PAKDD 2007 International Workshops, Revised Selected Papers
PublisherSpringer Verlag
Pages131-141
Number of pages11
ISBN (Print)354077016X, 9783540770169
DOIs
StatePublished - 2007
EventPacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007 - Nanjing, China
Duration: 22 May 200722 May 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4819 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferencePacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007
Country/TerritoryChina
CityNanjing
Period22/05/0722/05/07

Keywords

  • DM tool
  • Decision support
  • Dynamical model
  • HIV epidemic

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