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Aspect Mining in Business Process Management
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2014 (English)In: Perspectives in business informatics research: 13th International Conference, BIR 2014, Lund, Sweden, September 22-24, 2014 : proceedings / [ed] Björn Johansson, Bo Andersson, Nicklas Holmberg, Berlin: Springer, 2014, 246-260 p.Conference paper (Refereed)
Abstract [en]

Automatic discovery of process models from event logs is an important and promising area in Business Process Management. Process models document how business processes should be performed, so they capture different concerns related to business processes. Some of these concerns are not limited to one process model, and they are repeated in many others as well, called cross-cutting concerns. Although many works have been done to enable discovering different process models, there is no investigation about how models with cross-cutting concerns can be discovered from even logs. Therefore, this work proposes an approach to enable discovering these models from event logs. The investigation is performed based on a case-study from the banking domain. The result shows how these concerns hinder existing process discovery techniques, and how the proposed approach can solve the problem.

Place, publisher, year, edition, pages
Berlin: Springer, 2014. 246-260 p.
, Lecture notes in business information processing, ISSN 1865-1348 ; 194
Keyword [en]
Process Mining, Aspect Mining, Process Discovery, Business Process Management, Aspect Oriented
National Category
Information Systems
Research subject
Computer and Systems Sciences
URN: urn:nbn:se:su:diva-108614DOI: 10.1007/978-3-319-11370-8_18ISBN: 978-3-319-11369-2OAI: diva2:759807
13th International Conference, BIR 2014, Lund, Sweden, September 22-24, 2014
Available from: 2014-10-31 Created: 2014-10-31 Last updated: 2014-11-25Bibliographically approved

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Jalali, Amin
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Department of Computer and Systems Sciences
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