Log delta analysis: Interpretable differencing of Business process event logs
van Beest, Nick R., Dumas, Marlon, García-Bañuelos, Luciano, & La Rosa, Marcello (2015) Log delta analysis: Interpretable differencing of Business process event logs. In 13th International Conference on Business Process Management (BPM 2015), 31 August - 3 September 2015, Innsbruck, Austria.
This paper addresses the problem of identifying and explaining behavioral differences between two business process event logs. The paper presents a method that, given two event logs, returns a set of statements in natural language capturing behavior that is present or frequent in one log, while absent or infrequent in the other. This log delta analysis method allows users to diagnose differences between normal and deviant executions of a process or between two versions or variants of a process. The method relies on a novel approach to losslessly encode an event log as an event structure, combined with a frequency-enhanced technique for differencing pairs of event structures. A validation of the proposed method shows that it accurately diagnoses typical change patterns and can explain differences between normal and deviant cases in a real-life log, more compactly and precisely than previously proposed methods.
Impact and interest:
Citation counts are sourced monthly from and citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
|Item Type:||Conference Paper|
|Additional Information:||Proceedings of the 13th International Conference on Business Process Management - Volume 9253
|Keywords:||deviance mining, log delta analysis, process mining, positive deviance, business process management|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)|
|Divisions:||Past > Schools > Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2015 Springer-Verlag New York, Inc|
|Deposited On:||01 Apr 2015 01:40|
|Last Modified:||29 Oct 2016 17:43|
Repository Staff Only: item control page