MailOfMine - Analyzing Mail Messages for Mining Artful Collaborative
 Processes

Claudio Di Ciccio; Massimo Mecella; Monica Scannapieco; Diego Zardetto; Tiziana Catarci

doi:10.1007/978-3-642-34044-4_4

MailOfMine - Analyzing Mail Messages for Mining Artful Collaborative Processes

Claudio Di Ciccio, Massimo Mecella, Monica Scannapieco, Diego Zardetto, Tiziana Catarci

Data, Process and Knowledge Management (Sabou)

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

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.

Originalsprache	Englisch
Titel des Sammelwerks	Data-Driven Process Discovery and Analysis - First International Symposium, SIMPDA 2011, Campione d'Italia, June 29
Herausgeber*innen	Karl Aberer, Ernesto Damiani, Tharam Dillon
Erscheinungsort	Berlin Heidelberg
Verlag	Springer
Seiten	55 - 81
ISBN (Print)	978-3-642-34043-7
DOIs	https://doi.org/10.1007/978-3-642-34044-4_4
Publikationsstatus	Veröffentlicht - 1 Apr. 2012

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Zitat

Di Ciccio, C., Mecella, M., Scannapieco, M., Zardetto, D., & Catarci, T. (2012). MailOfMine - Analyzing Mail Messages for Mining Artful Collaborative Processes. in Karl Aberer, Ernesto Damiani, Tharam Dillon (Hrsg.), Data-Driven Process Discovery and Analysis - First International Symposium, SIMPDA 2011, Campione d'Italia, June 29 (S. 55 - 81). Springer. https://doi.org/10.1007/978-3-642-34044-4_4

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title = "MailOfMine - Analyzing Mail Messages for Mining Artful Collaborative Processes",

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.",

author = "{Di Ciccio}, Claudio and Massimo Mecella and Monica Scannapieco and Diego Zardetto and Tiziana Catarci",

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Di Ciccio, C, Mecella, M, Scannapieco, M, Zardetto, D & Catarci, T 2012, MailOfMine - Analyzing Mail Messages for Mining Artful Collaborative Processes. in Karl Aberer, Ernesto Damiani, Tharam Dillon (Hrsg.), Data-Driven Process Discovery and Analysis - First International Symposium, SIMPDA 2011, Campione d'Italia, June 29. Springer, Berlin Heidelberg, S. 55 - 81. https://doi.org/10.1007/978-3-642-34044-4_4

MailOfMine - Analyzing Mail Messages for Mining Artful Collaborative Processes. / Di Ciccio, Claudio; Mecella, Massimo; Scannapieco, Monica et al.
Data-Driven Process Discovery and Analysis - First International Symposium, SIMPDA 2011, Campione d'Italia, June 29. Hrsg. / Karl Aberer, Ernesto Damiani, Tharam Dillon. Berlin Heidelberg: Springer, 2012. S. 55 - 81.

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

TY - GEN

T1 - MailOfMine - Analyzing Mail Messages for Mining Artful Collaborative Processes

AU - Di Ciccio, Claudio

AU - Mecella, Massimo

AU - Scannapieco, Monica

AU - Zardetto, Diego

AU - Catarci, Tiziana

PY - 2012/4/1

Y1 - 2012/4/1

N2 - 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.

AB - 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.

U2 - 10.1007/978-3-642-34044-4_4

DO - 10.1007/978-3-642-34044-4_4

M3 - Contribution to conference proceedings

SN - 978-3-642-34043-7

SP - 55

EP - 81

BT - Data-Driven Process Discovery and Analysis - First International Symposium, SIMPDA 2011, Campione d'Italia, June 29

A2 - Karl Aberer, Ernesto Damiani, Tharam Dillon, null

PB - Springer

CY - Berlin Heidelberg

ER -

Di Ciccio C, Mecella M, Scannapieco M, Zardetto D, Catarci T. MailOfMine - Analyzing Mail Messages for Mining Artful Collaborative Processes. in Karl Aberer, Ernesto Damiani, Tharam Dillon, Hrsg., Data-Driven Process Discovery and Analysis - First International Symposium, SIMPDA 2011, Campione d'Italia, June 29. Berlin Heidelberg: Springer. 2012. S. 55 - 81 doi: 10.1007/978-3-642-34044-4_4