Groupware Mail Messages Analysis for Mining Collaborative Processes

Claudio Di Ciccio (), Massimo Mecella (), Monica Scannapieco (), Diego Zardetto () and Tiziana Catarci ()
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Claudio Di Ciccio: Dipartimento di Informatica e Sistemistica "Antonio Ruberti" Sapienza, Universita' di Roma
Massimo Mecella: Dipartimento di Informatica e Sistemistica "Antonio Ruberti" Sapienza, Universita' di Roma
Monica Scannapieco: Istituto Nazionale di Statistica Via Balbo 16, Roma, Italy
Diego Zardetto: Istituto Nazionale di Statistica Via Balbo 16, Roma, Italy
Tiziana Catarci: Dipartimento di Informatica e Sistemistica "Antonio Ruberti" Sapienza, Universita' di Roma

No 2011-01, DIS Technical Reports from Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza"

Abstract: 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.

Keywords: Object Matching; Process Mining; Text Mining; Information Retrieval; E-mail Analysis; Knowledge Workers; Artful Business Process (search for similar items in EconPapers)
Date: 2011-01
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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