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  • 标题:To Improve Blood Donation Process using Data Mining Techniques
  • 本地全文:下载
  • 作者:NetrikaW. Dhoke ; Prof. Swati S. Deshmukh
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2015
  • 卷号:3
  • 期号:5
  • DOI:10.15680/ijircce.2015.0305166
  • 出版社:S&S Publications
  • 摘要:Blood is the vital thing for human being becausethere is no alternative for replacing it. This makes itnecessary for the presence of a system for predicting continuous behavior of healthy blood donors in bloodtransfusion organization. The aim of predicting behaviorof donor’s is to determine and collect proper informationabout the blood donor, his health status and blood groups for providing future continuity to blood bank. As theUrgent need of blood is rapidly growing it is desire need to find the blood donor information properly andefficiently. It is becoming more and more difficult to extract the information using the conventional databasetechniques. So, in this paper we proposed the solution for properly mining the proper and required donorinformation from large amount of blood donor’s database. It is necessarytoanalyzethe blood donor database,alongwith his information from blood banks as it is useful when urgent need occurs. For retrieving the proper informationfrom large database related to the blood donor’s data mining is used to analyze their availability, number of donorsand all related information. There are various different techniquesand algorithmspresent in data mining likeclassification, clustering, association, etc. which suits better for desired task.
  • 关键词:Blood Donation; Classification; Centroids; Data Mining; K-means clustering; Knowledge Discovery;from Databases (KDD).
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