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文章基本信息

  • 标题:Visual Knowledge Generation from Data Mining Patterns for Decision-Making
  • 本地全文:下载
  • 作者:Jihed Elouni ; 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.2016.070737
  • 出版社:Science and Information Society (SAI)
  • 摘要:The visual data mining based decision support systems had already been recognized in literature. It allows users analysing large information spaces to support complex decision-making. Prior research provides frameworks focused on simply representing extracted patterns. In this paper, we present a new model for visually generating knowledge from these patterns and communicating it for intelligent decision-making. To prove the practicality of the proposed model, it was applied in the medical field to fight against nosocomial infections in the intensive care units.
  • 关键词:thesai; IJACSA; thesai.org; journal; IJACSA papers; Knowledge; patterns; visualization; data mining; Decision Support Systems
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