Issue No. 05 - Sept.-Oct. (2013 vol. 17)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIC.2013.60
Claudio Di Ciccio , Sapienza University of Rome
Massimo Mecella , Sapienza University of Rome
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.
Electronic mail, Speech processing, Data mining, Internet, Knowledge management, Workflow management software, Collaborative work,electronic mail, process mining, declarative workflow models, workflow management, mining methods and algorithms, text mining
Claudio Di Ciccio, Massimo Mecella, "Mining Artful Processes from Knowledge Workers' Emails", IEEE Internet Computing, vol. 17, no. , pp. 10-20, Sept.-Oct. 2013, doi:10.1109/MIC.2013.60