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2015 | OriginalPaper | Buchkapitel

Discovering Behavioural Patterns in Knowledge-Intensive Collaborative Processes

verfasst von : Claudia Diamantini, Laura Genga, Domenico Potena, Emanuele Storti

Erschienen in: New Frontiers in Mining Complex Patterns

Verlag: Springer International Publishing

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Abstract

Domains 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.

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Vorheriges Kapitel Temporal Dependency Detection Between Interval-Based Event Sequences

Nächstes Kapitel Learning Complex Activity Preconditions in Process Mining

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Titel: Discovering Behavioural Patterns in Knowledge-Intensive Collaborative Processes
verfasst von: Claudia Diamantini
Laura Genga
Domenico Potena
Emanuele Storti
Verlag: Springer International Publishing
Buch: New Frontiers in Mining Complex Patterns
Print ISBN: 978-3-319-17875-2

Electronic ISBN: 978-3-319-17876-9

Copyright-Jahr: 2015
DOI: https://doi.org/10.1007/978-3-319-17876-9_10

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