Using process mining to learn from process changes in evolutionary systems
(2008) Using process mining to learn from process changes in evolutionary systems. International Journal of Business Process Integration and Management 3(1):pp. 61-78.
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Abstract
Traditional information systems struggle with the requirement to provide flexibility and process support while still enforcing some degree of control. Accordingly, adaptive Process Management Systems (PMSs) have emerged that provide some flexibility by enabling dynamic process changes during runtime. Based on the assumption that these process changes are recorded explicitly, we present two techniques for mining change logs in adaptive PMSs; that is, we do not only analyse the execution logs of the operational processes, but also consider the adaptations made at the process instance level. The change processes discovered through process mining provide an aggregated overview of all changes that happened so far. Using process mining as an analysis tool we show in this paper how better support can be provided for truly flexible processes by understanding when and why process changes become necessary.
| Item Type: | Journal Article |
|---|---|
| Status: | Published |
| Keywords: | process-aware information systems; process mining; change mining |
| Subjects: | 280000 Information, Computing and Communication Sciences > 280100 Information Systems > 280103 Information Storage, Retrieval and Management |
| ID Code: | 14017 |
| Deposited By: | Recker, Jan |
| Deposited On: | 09 July 2008 |
| Alternative Locations: | https://www.inderscience.com/browse/index.php?journalID=115 |
| Copyright Owner: | Copyright 2008 Inderscience |
| Copyright Statement: | Reproduced in accordance with the copyright policy of the publisher. |