Wanna improve process mining results?

Bose, R. P. Jagadeesh Chandra; Mans, Ronny S.; Aalst, Wil M. P. van der

doi:10.1109/cidm.2013.6597227

Cited by 128 publications

(78 citation statements)

References 17 publications

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“…Bose et al [15] discussed various quality issues found in event logs. The alignment approach assumes that with assigning the right cost to moves the "ideal alignment" can be found in optimal alignments [6,4] without considering that the log may have quality problems.…”

Section: Resultsmentioning

confidence: 99%

Conformance Checking Based on Partially Ordered Event Data

Fahland

Aalst

2015

Business Process Management Workshops

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Abstract. Conformance checking is becoming more important for the analysis of business processes. While the diagnosed results of conformance checking techniques are used in diverse context such as enabling auditing and performance analysis, the quality and reliability of the conformance checking techniques themselves have not been analyzed rigorously. As the existing conformance checking techniques heavily rely on the total ordering of events, their diagnostics are unreliable and often even misleading when the timestamps of events are coarse or incorrect. This paper presents an approach to incorporate flexibility, uncertainty, concurrency and explicit orderings between events in the input as well as in the output of conformance checking using partially ordered traces and partially ordered alignments, respectively. The paper also illustrates various ways to acquire partially ordered traces from existing logs. In addition, a quantitative-based quality metric is introduced to objectively compare the results of conformance checking. The approach is implemented in ProM plugins and has been evaluated using artificial logs.

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Section: Resultsmentioning

confidence: 99%

Conformance Checking Based on Partially Ordered Event Data

Fahland

Aalst

2015

Business Process Management Workshops

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“…For that purpose, the process mining toolkit ProM 6 [23] was used and a graphical representation for the VPN access approval was obtained, as illustrated in Figure 3. Note that for complex event logs, specific techniques may be considered in order to improve the mining results [5].…”

Section: Step Bu-1: Discover the Business Process Model From The Evenmentioning

confidence: 99%

Using event logs and the Ψ-theory to analyse business processes

Pinto

Mendes

Caetano

et al. 2015

Proceedings of the 30th Annual ACM Symposium on Applied Computing

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The development of information technologies (IT) has increased the number of IT dependent business processes within organisations, enforcing the crucial role of IT in today's enterprise implementations. In spite of IT advances, human beings still constitute the most valuable asset of any enterprise and the cooperation between them is indispensable for the operation of business processes. Traditional business process modelling techniques have limitations regarding the acquisition process which is time-consuming and do not take fully advantage of IT to represent updated process models. Besides, these techniques are limited concerning the analysis and improvement of the resulting models. This paper proposes a method to analyse updated business processes in terms of the collaboration between the participant actor roles, taking into account the importance of IT and human beings at those processes. The method receives as input event logs extracted from the application and technological infrastructure that supports the business processes and combines techniques from both Process Mining and the Ψ-theory to analyse enterprise ontology models against the mined processes, detecting opportunities for business process reengineering. The method was applied to analyse a VPN access approval process within a national defence governmental institution. The evaluation was performed using the Osterle principles.

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“…-Check in more detail all of the significant challenges previously found in the literature [20,24,25].…”

Section: 5: Verify Data Qualitymentioning

confidence: 99%

Question-Driven Methodology for Analyzing Emergency Room Processes Using Process Mining

et al. 2017

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Abstract:In order to improve the efficiency and effectiveness of Emergency Rooms (ER), it is important to provide answers to frequently-posed questions regarding all relevant processes executed therein. Process mining provides different techniques and tools that help to obtain insights into the analyzed processes and help to answer these questions. However, ER experts require certain guidelines in order to carry out process mining effectively. This article proposes a number of solutions, including a classification of the frequently-posed questions about ER processes, a data reference model to guide the extraction of data from the information systems that support these processes and a question-driven methodology specific for ER. The applicability of the latter is illustrated by means of a case study of an ER service in Chile, in which ER experts were able to obtain a better understanding of how they were dealing with episodes related to specific pathologies, triage severity and patient discharge destinations.

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Wanna improve process mining results?

Cited by 128 publications

References 17 publications

Conformance Checking Based on Partially Ordered Event Data

Conformance Checking Based on Partially Ordered Event Data

Using event logs and the Ψ-theory to analyse business processes

Question-Driven Methodology for Analyzing Emergency Room Processes Using Process Mining

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