TY - GEN
T1 - When process mining meets bioinformatics
AU - Jagadeesh Chandra Bose, R.P.
AU - Aalst, van der, W.M.P.
PY - 2012
Y1 - 2012
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.
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.
U2 - 10.1007/978-3-642-29749-6_14
DO - 10.1007/978-3-642-29749-6_14
M3 - Conference contribution
SN - 978-3-642-29748-9
T3 - Lecture Notes in Business Information Processing
SP - 202
EP - 217
BT - IS Olympics: Information Systems in a Diverse World (CAiSE Forum 2011, London, UK, June 20-24, 2011, Selected Extended Papers)
A2 - Nurcan, S.
PB - Springer
CY - Berlin
ER -