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  • 标题:Pre-Post Processing of Discriminated Data
  • 本地全文:下载
  • 作者:Krishna Kumar Tripathi
  • 期刊名称:International Journal of Electronics, Communication and Soft Computing Science and Engineering
  • 印刷版ISSN:2277-9477
  • 出版年度:2015
  • 卷号:4
  • 期号:Special 3
  • 出版社:IJECSCSE
  • 摘要:Discrimination means, selecting a statement on unfairdecision. For example, hiring a candidate on the basis of their sexor race. Discrimination occurs in data mining when an unfaircondition is applied during the mining process on data. There aresome sensitive attribute and some insensitive attribute in data onwhich discrimination can be performed. If discriminationhappens because of sensitive attributes then it is called directdiscrimination else it is called indirect discrimination. Indirectdiscriminated are rules are correlated with insensitive attributes.Sara Hajian and Josep Domingo-Ferrer[13] has proposed somealgorithms for the prevention of discrimination. But thesetechniques were at preprocessing of the data. The proposedpaper is an extension of discrimination prevention atpreprocessing. The proposed framework works on discriminationprevention at preprocessing as well as at postprocessing. Fordiscrimination prevention at postprocessing, Classification basedPredictive Association Rule Mining(CPAR) has been used
  • 关键词:Association Rule Mining; Data-Mining;Discrimination; Drp; Classification Using Predictive Association;Rule (Cpar)
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