Event interval analysis: Why do processes take time?

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.

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Abstract

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.

Impact and interest:

3 citations in Scopus
2 citations in Web of Science®
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ID Code: 76205
Item Type: Journal Article
Refereed: Yes
Additional URLs:
Keywords: process mining, data mining, business process management, performance analysis
DOI: 10.1016/j.dss.2015.07.007
ISSN: 1873-5797
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Pattern Recognition and Data Mining (080109)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Funding:
Copyright Owner: Copyright 2015 Elsevier
Deposited On: 17 Sep 2014 22:02
Last Modified: 15 Jul 2017 08:03

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