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 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.

Mining Artful Processes from Knowledge Workers' Emails / DI CICCIO, Claudio; Mecella, Massimo. - In: IEEE INTERNET COMPUTING. - ISSN 1089-7801. - 17:5(2013), pp. 10-20. [10.1109/mic.2013.60]

Mining Artful Processes from Knowledge Workers' Emails

DI CICCIO, Claudio;MECELLA, Massimo
2013

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 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.
2013
declarative workflow models; electronic mail; mining methods and algorithms; process mining; text mining; workflow management
01 Pubblicazione su rivista::01a Articolo in rivista
Mining Artful Processes from Knowledge Workers' Emails / DI CICCIO, Claudio; Mecella, Massimo. - In: IEEE INTERNET COMPUTING. - ISSN 1089-7801. - 17:5(2013), pp. 10-20. [10.1109/mic.2013.60]
File allegati a questo prodotto
File Dimensione Formato  
VE_2013_11573-537137.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 2.26 MB
Formato Adobe PDF
2.26 MB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/537137
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 18
  • ???jsp.display-item.citation.isi??? 12
social impact