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  • 标题:Clustering as a Data Mining Technique in Health Hazards of High levels of Fluoride in Potable Water
  • 本地全文:下载
  • 作者:T Balasubramanian ; R.Umarani
  • 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:2012
  • 卷号:3
  • 期号:2
  • DOI:10.14569/IJACSA.2012.030228
  • 出版社:Science and Information Society (SAI)
  • 摘要:This article explores data mining techniques in health care. In particular, it discusses data mining and its application in areas where people are affected severely by using the under- ground drinking water which consist of high levels of fluoride in Krishnagiri District, Tamil Nadu State, India. This paper identifies the risk factors associated with the high level of fluoride content in water, using clustering algorithms and finds meaningful hidden patterns which gives meaningful decision making to this socio-economic real world health hazard. [2]
  • 关键词:thesai; IJACSA; thesai.org; journal; IJACSA papers; Data mining; Fluoride affected people; Clustering; K-means; Skeletal.
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