Groupware Mail Messages Analysis for Mining Collaborative Processes

Authors

  • Claudio Di Ciccio Dipartimento Informatica e Sistemistica "Antonio Ruberti"
  • Massimo Mecella Dipartimento Informatica e Sistemistica "Antonio Ruberti"
  • Monica Scannapieco Istituto Nazionale di Statistica
  • Diego Zardetto Istituto Nazionale di Statistica
  • Tiziana Catarci Dipartimento Informatica e Sistemistica "Antonio Ruberti"

Keywords:

Object Matching, Process Mining, Text Mining, Information Retrieval, E-mail Analysis, Knowledge Workers, Artful Business Process

Abstract

Artful business processes are informal processes typically carried out by those people whose work is mental rather than physical (managers, professors, researchers, etc.), theso 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.

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How to Cite

Di Ciccio, C., Mecella, M., Scannapieco, M., Zardetto, D., & Catarci, T. (2011). Groupware Mail Messages Analysis for Mining Collaborative Processes. Department of Computer and System Sciences Antonio Ruberti Technical Reports, 3(1). Retrieved from https://rosa.uniroma1.it/rosa00/index.php/dis_technical_reports/article/view/8966

Issue

Vol. 3 No. 1 (2011): Groupware Mail Messages Analysis for Mining Collaborative Processes

Section

Articles