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邮件系统的时间属性分类与属性值约简方法

TIME ATTRIBUTE CLASSIFICATION AND ATTRIBUTE VALUE REDUCTION OF MAIL SYSTEM
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摘要 为了给邮件网络分析提供预处理后规范、简约的数据集,提出了基于粗糙集的邮件系统相关定义。将邮件对象集按邮件收发时间属性分类,并描述了基于邮件属性值支持度的属性值约简方法。该方法成功运用在Enron公司邮件包中部分邮件数据的预处理上。实验表明,处理后的邮件分析数据更加规范化,并且极大地缩减了邮件对象集的大小。 In order to provide pre-processed normative and reductive dataset to email network analysis,this paper presented correlated definitions in regard to mail system based on the rough set.In these definitions,the mail object set was classified by time attribute.Meanwhile,a method of attribute value reduction based on mail attribute value support is described.This method has been applied to the pretreatment of part of mail data in Enron email packet successfully.Experiment shows that the mail analysis data becomes more normative after being processed,and the size of mail object set is greatly reduced as well.
作者 田宏 万果锋
出处 《计算机应用与软件》 CSCD 2011年第1期112-113,132,共3页 Computer Applications and Software
基金 辽宁省教育计划项目(2008093)
关键词 邮件系统 粗糙集 时间属性 属性值约简 属性值支持度 Mail system Rough sets Time attribute Attribute value reduction Attribute value support
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  • 1曾黄麟.粗集理论及其应用--关于数据推理的新方法[M].重庆:重庆大学出版社,1998..
  • 2Z. Pawlak. Rough sets [J]. International Journal of Information and Computer Sciences, 1982, 11(5):341-383
  • 3Z. Pawlak. Rough sets, decision algorithms and Bayes theory [J]. European Journal of Operational Research,2002, 136 (5) :181-189
  • 4John G H, Kohavi R, Pfloger K. Irrelevant features and the subset selection problem. Mitchell T M. Proceedings on Machine Learning94 [C]. Morgan Koffmann Publishers, 1994, 22(8) :121-129
  • 5McCallum, Andrew Kachites. BOW: A toolkit for statistical language modeling, text retrieval, classification and clustering[EB/OL]. Http: //www. cs. cmu. edu/mccallum/bow. 1996
  • 6曾黄麟.智能计算[M].重庆:重庆大学出版社,2004..
  • 7Pawlak Z.Rough Sets:Theoretical Aspects of Reasoning About Data[M].Dordrecht:Kluwer Academic Publishers,1991
  • 8Hu XiaoHua,Cercone N.Learning in relational databases:a rough set approach[J].Computational Intelligence,1995, 11 (2):323~33734 2006.11.
  • 9Mollestad T,Skowron A.A rough set framework for datamining of prepositional default rules[C].In:Proc of 9th International Symposiumon Foundations of Intelligent Syetems,ISMIS,1996:448~457
  • 10Pawlak Z.Rough set.Intl[J].J of Information and Computer Science.1982,11:341~365.

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