Event interval analysis: Why do processes take time?
Data(s) |
2015
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Resumo |
Through the application of process mining, valuable evidence-based insights can be obtained about business processes in organisations. As a result the field has seen an increased uptake in recent years as evidenced by success stories and increased tool support. However, despite this impact, current performance analysis capabilities remain somewhat limited in the context of information-poor event logs. For example, natural daily and weekly patterns are not considered. In this paper a new framework for analysing event logs is defined which is based on the concept of event gap. The framework allows for a systematic approach to sophisticated performance-related analysis of event logs containing varying degrees of information. The paper formalises a range of event gap types and then presents an implementation as well as an evaluation of the proposed approach. |
Formato |
application/pdf |
Identificador | |
Publicador |
Elsevier |
Relação |
http://eprints.qut.edu.au/76205/5/76205.pdf DOI:10.1016/j.dss.2015.07.007 Suriadi, Suriadi, Ouyang, Chun, van der Aalst, Wil M.P., & ter Hofstede, Arthur H.M. (2015) Event interval analysis: Why do processes take time? Decision Support Systems, 79, pp. 77-98. http://purl.org/au-research/grants/ARC/DP110100091 |
Direitos |
Copyright 2015 Elsevier |
Fonte |
School of Information Systems; Science & Engineering Faculty |
Palavras-Chave | #080109 Pattern Recognition and Data Mining #080600 INFORMATION SYSTEMS #process mining #data mining #business process management #performance analysis |
Tipo |
Journal Article |