Di Ciccio, Claudio, Mecella, Massimo, Scannapieco, Monica, Zardetto, Diego, Catarci, Tiziana. 2012. MailOfMine - Analyzing Mail Messages for Mining Artful Collaborative Processes. In Data-Driven Process Discovery and Analysis, Hrsg. Karl Aberer, Ernesto Damiani, Tharam Dillon, 55-81. Campione d'Italia, Italy: Springer.

RIS

@INPROCEEDINGS{Di Ciccio2012,
title = {MailOfMine - Analyzing Mail Messages for Mining Artful Collaborative Processes},
author = {Claudio Di Ciccio and Massimo Mecella and Monica Scannapieco and Diego Zardetto and Tiziana Catarci},
publisher = {Springer},
year = {2012},
isbn = {978-3-642-34043-7},
address = {Campione d'Italia, Italy},
url = {http://dx.doi.org/10.1007/978-3-642-34044-4_4},
publisher = {Springer},
language = {EN},
pages = {55-81},
series = {Data-Driven Process Discovery and Analysis},
abstract = {Artful processes are informal processes typically carried out by those people whose work is mental rather than physical (managers, professors, researchers, engineers, etc.), the so called "knowledge workers". In this paper we propose the MailOfMine approach, to automatically build, on top of a collection of email messages, a set of workflow models that represent the artful processes laying behind the knowledge workers activities.},
}