Discovering behavioural patterns in knowledge-intensive collaborative processes

Claudia Diamantini, Laura Genga, Domenico Potena, Emanuele Storti

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

10 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationNew Frontiers in Mining Complex Patterns
Subtitle of host publicationThird International Workshop, NFMCP 2014, Held in Conjunction with ECML-PKDD 2014, Nancy, France, September 19, 2014, Revised Selected Papers
EditorsAnnalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras
Place of PublicationCham
PublisherSpringer
Pages149-163
ISBN (Electronic)978-3-319-17876-9
ISBN (Print)978-3-319-17875-2
DOIs
Publication statusPublished - 2014
Externally publishedYes
EventNew frontiers in Mining Complex Patterns 2014 - Nancy, France
Duration: 19 Sep 201419 Sep 2014

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume8983

Workshop

WorkshopNew frontiers in Mining Complex Patterns 2014
Abbreviated titleNFMCP 2014
CountryFrance
CityNancy
Period19/09/1419/09/14

Fingerprint

Dive into the research topics of 'Discovering behavioural patterns in knowledge-intensive collaborative processes'. Together they form a unique fingerprint.

Cite this