DocumentCode
1760224
Title
Mining Artful Processes from Knowledge Workers´ Emails
Author
Di Ciccio, C. ; Mecella, Massimo
Author_Institution
Sapienza Univ. of Rome, Rome, Italy
Volume
17
Issue
5
fYear
2013
fDate
Sept.-Oct. 2013
Firstpage
10
Lastpage
20
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 knowledge 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. Finally, workers and organizations can analyze such processes to determine bottlenecks and delays in actual executions. MailOfMine describes workflow models according to a declarative approach, with a specific visual notation.
Keywords
data mining; electronic mail; MailOfMine; declarative approach; email message collection; knowledge workers emails; mining artful processes; unspecified agile processes; visual notation; workflow models; Collaborative work; Data mining; Electronic mail; Internet; Knowledge management; Speech processing; Workflow management software; declarative workflow models; electronic mail; mining methods and algorithms; process mining; text mining; workflow management;
fLanguage
English
Journal_Title
Internet Computing, IEEE
Publisher
ieee
ISSN
1089-7801
Type
jour
DOI
10.1109/MIC.2013.60
Filename
6527884
Link To Document