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

Institute for Data, Process and Knowledge Management (AE Sabou)

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

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.

Original language	English
Title of host publication	Data-Driven Process Discovery and Analysis
Editors	Karl Aberer, Ernesto Damiani, Tharam Dillon
Place of Publication	Campione d'Italia, Italy
Publisher	Springer
Pages	55 - 81
ISBN (Print)	978-3-642-34043-7
DOIs	https://doi.org/10.1007/978-3-642-34044-4_4
Publication status	Published - 1 Apr 2012

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Cite this

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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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MailOfMine - Analyzing Mail Messages for Mining Artful Collaborative Processes. / Di Ciccio, Claudio; Mecella, Massimo; Scannapieco, Monica et al.

Data-Driven Process Discovery and Analysis. ed. / Karl Aberer, Ernesto Damiani, Tharam Dillon. Campione d'Italia, Italy : Springer, 2012. p. 55 - 81.

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

TY - GEN

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

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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.

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BT - Data-Driven Process Discovery and Analysis

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