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IEEE Internet Computing
Article . 2013 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
DBLP
Article
Data sources: DBLP
IEEE Internet Computing
Article . 2013
Data sources: WU Research
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Mining Artful Processes from Knowledge Workers' Emails

Authors: DI CICCIO, Claudio; MECELLA, Massimo;

Mining Artful Processes from Knowledge Workers' Emails

Abstract

In this paper we present MailOfMine, an approach and a software tool aimed at automatically building a set of workflow models, which represent the artful processes laying behind the knowledge workers' activities, on top of a collection of email messages. The advantages are numerous: the unspecified agile processes that are autonomously used become formalized. Since such models are not defined a priori by experts but rather inferred from real-life scenarios that actually took place, they are guaranteed to respect the true executions (often Business Process Management tools are used to show the discrepancy between the supposed and the concrete workflows). Moreover, such models can be shared, compared, preserved, so that the best practices might be put in evidence from the community of knowledge workers, to the whole business benefit. Finally, an analysis over such processes can be done, so that bottlenecks and delays in actual executions can be found out. In MailOfMine, workflow models are described according to a declarative approach, with a specific visual notation. After presenting the architecture of the system, this paper reports some performance tests and the results of the application of the tool on a real case study.

Countries
Italy, Austria, Netherlands
Keywords

workflow management software, declarative workflow models, workflow management, process mining, 502, data mining, text mining, knowledge management, mining methods and algorithms, 102, declarative workflow models; electronic mail; mining methods and algorithms; process mining; text mining; workflow management, collaborative work, internet, electronic mail, speech processing

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Top 10%
Top 10%
Top 10%
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