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  • 标题:Comparative study of Data Mining Approaches for blood platelet transfusion
  • 本地全文:下载
  • 作者:Hari Ganesh S ; Vanitha. K
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2014
  • 卷号:3
  • 期号:9
  • 页码:3069-3074
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Data mining is the extracting knowledge from the large amount of data. The four types of data mining techniques are classification, clustering, regression, and association rule. Data mining are used to many applications. There are medical, survillence, fraud detection and marketing. Platelet is the circulates of blood in our body when they blood vassals are damaged and recognized. Platelets are called thrombocyte and it is count low and normal. Platelets are reduced of our body the cancer, heavy bleeding, and leukaemia diseases are affected. The goal of the project using breast cancer dataset used in classification algorithm. Which is the best accuracy is given the algorithm is analyzed.
  • 关键词:Data mining; Blood Platelet ; Transfusion; Naive Bayesian; ; Decision Table; J48
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