Discovering behavioural patterns in knowledge-intensive collaborative processes

TitleDiscovering behavioural patterns in knowledge-intensive collaborative processes
Publication TypeConference Paper
Year of Publication2015
AuthorsDiamantini C., Genga L., Potena D., Storti E.
Conference NameLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
AbstractDomains like emergency management, health care, or research and innovation development, are characterized by the execution of so-called knowledge-intensive processes. Such processes are typically highly uncertain, with little or no structure; consequently, classical process discovery techniques, aimed at extracting complete process schemas from execution logs, usually provide a limited support in analysing these processes. As a remedy, in the present work we propose a methodology aimed at extracting relevant subprocesses, representing meaningful collaboration behavioural patterns. We consider a real case study regarding the development of research activities, to test the approach and compare its results with the outcome of classical process discovery techniques.