• DocumentCode
    1760224
  • Title

    Mining Artful Processes from Knowledge Workers´ Emails

  • Author

    Di Ciccio, C. ; Mecella, Massimo

  • Author_Institution
    Sapienza Univ. of Rome, Rome, Italy
  • Volume
    17
  • Issue
    5
  • fYear
    2013
  • fDate
    Sept.-Oct. 2013
  • Firstpage
    10
  • Lastpage
    20
  • Abstract
    MailOfMine aims at automatically building a set of workflow models--which represent the artful processes behind knowledge workers´ activities--on top of a collection of email messages. Such models formalize the unspecified agile processes that knowledge workers autonomously perform: because these models aren´t defined a priori by experts but are rather inferred from real-life scenarios, they´re guaranteed to respect true workflow executions. Moreover, knowledge workers can share, compare, and preserve such models to put in evidence their best practices and thus benefit the entire business. Finally, workers and organizations can analyze such processes to determine bottlenecks and delays in actual executions. MailOfMine describes workflow models according to a declarative approach, with a specific visual notation.
  • Keywords
    data mining; electronic mail; MailOfMine; declarative approach; email message collection; knowledge workers emails; mining artful processes; unspecified agile processes; visual notation; workflow models; Collaborative work; Data mining; Electronic mail; Internet; Knowledge management; Speech processing; Workflow management software; declarative workflow models; electronic mail; mining methods and algorithms; process mining; text mining; workflow management;
  • fLanguage
    English
  • Journal_Title
    Internet Computing, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7801
  • Type

    jour

  • DOI
    10.1109/MIC.2013.60
  • Filename
    6527884