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文章基本信息

  • 标题:Groupware Mail Messages Analysis for Mining Collaborative Processes
  • 本地全文:下载
  • 作者:Claudio Di Ciccio ; Massimo Mecella ; Monica Scannapieco
  • 期刊名称:Department of Computer and System Sciences Antonio Ruberti Technical Reports
  • 印刷版ISSN:2035-5750
  • 出版年度:2011
  • 卷号:3
  • 期号:1
  • 语种:English
  • 出版社:Department of Computer and System Sciences Antonio Ruberti. Sapienza, Università di Roma
  • 摘要:Artful business processes are informal processes typically carried out by those people whose work is mental rather than physical (managers, professors, researchers, etc.), the so called “knowledge workers”. In this paper we outline how to automatically build, on top of a collection of e-mail messages, a set of workflow models that represent the artful processes which lay behind the knowledge workers activities.
  • 关键词:Object Matching;Process Mining;Text Mining;Information Retrieval;E-mail Analysis;Knowledge Workers;Artful Business Process
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