Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the CAiSE Forum 2011 (London, UK, June 22-24, 2011) |
| Editors | S. Nurcan |
| Publisher | CEUR-WS.org |
| Pages | 147-154 |
| Publication status | Published - 2011 |
Publication series
| Name | CEUR Workshop Proceedings |
|---|---|
| Volume | 734 |
| ISSN (Print) | 1613-0073 |
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When process mining meets bioinformatics. / Jagadeesh Chandra Bose, R.P.; Aalst, van der, W.M.P.
Proceedings of the CAiSE Forum 2011 (London, UK, June 22-24, 2011). ed. / S. Nurcan. CEUR-WS.org, 2011. p. 147-154 (CEUR Workshop Proceedings; Vol. 734).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - When process mining meets bioinformatics
AU - Jagadeesh Chandra Bose, R.P.
AU - Aalst, van der, W.M.P.
PY - 2011
Y1 - 2011
N2 - Process mining techniques can be used to extract non-trivial process related knowledge and thus generate interesting insights from event logs. Similarly, bioinformatics aims at increasing the understanding of biological processes through the analysis of information associated with biological molecules. Techniques developed in both disciplines can benefit from one another, e.g., sequence analysis is a fundamental aspect in both process mining and bioinformatics. In this paper, we draw a parallel between bioinformatics and process mining. In particular, we present some initial success stories that demonstrate that the emerging process mining discipline can benefit from techniques developed for bioinformatics. Keywords: sequence, trace, execution patterns, diagnostics, conformance, alignment, configuration
AB - Process mining techniques can be used to extract non-trivial process related knowledge and thus generate interesting insights from event logs. Similarly, bioinformatics aims at increasing the understanding of biological processes through the analysis of information associated with biological molecules. Techniques developed in both disciplines can benefit from one another, e.g., sequence analysis is a fundamental aspect in both process mining and bioinformatics. In this paper, we draw a parallel between bioinformatics and process mining. In particular, we present some initial success stories that demonstrate that the emerging process mining discipline can benefit from techniques developed for bioinformatics. Keywords: sequence, trace, execution patterns, diagnostics, conformance, alignment, configuration
M3 - Conference contribution
T3 - CEUR Workshop Proceedings
SP - 147
EP - 154
BT - Proceedings of the CAiSE Forum 2011 (London, UK, June 22-24, 2011)
A2 - Nurcan, S.
PB - CEUR-WS.org
ER -