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文章基本信息

  • 标题:An Intelligent Agent based Architecture for Visual Data Mining
  • 本地全文:下载
  • 作者:Hamdi Ellouzi ; Hela Ltifi ; Mounir Ben Ayed
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2016
  • 卷号:7
  • 期号:7
  • DOI:10.14569/IJACSA.2016.070721
  • 出版社:Science and Information Society (SAI)
  • 摘要:the aim of this paper is to present an intelligent architecture of Decision Support System (DSS) based on visual data mining. This architecture applies the multi-agent technology to facilitate the design and development of DSS in complex and dynamic environment. Multi-Agent Systems add a high level of abstraction. To validate the proposed architecture, it is implemented to develop a distributed visual data mining based DSS to predict nosocomial infectionsoccurrence in intensive care units. The developed prototype was evaluated to verify the architecture practicability.
  • 关键词:thesai; IJACSA; thesai.org; journal; IJACSA papers; Multi Agent System; Decision Support System; Visualization; Knowledge Discovery from Data; Nosocomial Infection
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