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  • 标题:A COMPARISON OF BLOOD DONOR CLASSIFICATION DATA MINING MODELS
  • 本地全文:下载
  • 作者:SHYAM SUNDARAM ; SANTHANAM T
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2011
  • 卷号:30
  • 期号:2
  • 出版社:Journal of Theoretical and Applied
  • 摘要:This study uses decision trees derived from data mining modeling techniques to examine the blood donor classification. The primary goal of this classification model is provide the capability to determine voluntary blood donorship based on blood donation patterns. In specific a comparison is made of two models (one based on a specific donation drive versus the regular voluntary donor patterns) based on a standard data set for blood transfusion. The enhancement of attributes that help enable the determination of voluntary donorship is also a suggested value addition The paper discusses comparison of donorship models using the classification algorithms of data mining which enable representation as decision trees. The analysis provides insight into the development of donor classification which enable blood banks to determine the kinds of donor profiles and manage blood donorship related activities like recruitment and campaigns for blood donations.
  • 关键词:Blood Bank; Blood Transfusion; Blood Donor; Data Mining; Classification Algorithms
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