Turning event logs into process movies: animating what has really happened

Leoni, Massimiliano de; Suriadi, Suriadi; Hofstede, Arthur H. M. ter; Aalst, Wil M. P. van der

doi:10.1007/s10270-014-0432-2

Cited by 14 publications

(4 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Gaaloul et al [109] proposed a mining method for discovering workflow models based on workflow patterns and workflow termination states. Leoni et al [110] proposed a mining method to reconstruct process states. Bolt et al [111] compared different variants of the same process to detect relevant differences between processes.…”

Section: Methods Based On Model and Modelmentioning

confidence: 99%

Behavior Analysis for Electronic Commerce Trading Systems: A Survey

et al. 2019

View full text Add to dashboard Cite

With the rapid development of the Internet and the continuous progress of computer science and technology, Internet-based online trading has developed rapidly and improved the convenience of everyday life. Increasingly, people conduct business activities through online transactions and payment methods, and the development prospects for online transactions are quite broad. In addition, e-commerce trading systems have attracted considerable attention. Many studies have been conducted to analyze the behaviors of these systems. This paper focuses on analyzing both system behavior and user behavior in e-commerce trading systems. To reflect the characteristics of online trading systems, system behavior reflects the strength of the system, while user behavior reflects various user actions. Consistency, which is a basis for determining whether two objects are similar, provides a reference for designers and modelers. This paper also focuses on analyzing the consistency of system behavior, especially regarding the measurement and diagnosis of e-commerce trading systems. Then, we study the existing user behavior analysis methods for e-commerce trading systems. We divide user behaviors into four groups: web browsing behavior, keystroke behavior, network transaction behavior, and mobile terminal behavior. The performance and correlation analysis techniques of these methods are discussed and compared in detail. Finally, we provide ideas for future research involving behavior analysis for online trading systems.

show abstract

Section: Methods Based On Model and Modelmentioning

confidence: 99%

Behavior Analysis for Electronic Commerce Trading Systems: A Survey

et al. 2019

View full text Add to dashboard Cite

show abstract

“…The authors use shades of colours and thickness for nodes and edges to highlight statistically significant differences between the two event logs. An approach by de Leoni et al. (2016) creates animations of process behaviour which helps process analysts obtain a holistic view of the process execution from different perspectives.…”

Section: Background and Related Workmentioning

confidence: 99%

“…Current research in the field of process mining focuses on topics such as visualising information on process models (Dani et al, 2019), comparing processes (Low et al, 2017;Pini et al, 2015;de Leoni et al, 2016), process performance (Bachhofner et al, 2017;Gulden, 2016;Pika et al, 2014;Low et al, 2017;Chi o et al, 2021), predictive and prescriptive process monitoring (Conforti et al, 2013;Fahrenkrog-Petersen et al, 2022;Khan et al, 2021) and frameworks for developers of process mining software (Sirgmets et al, 2018;Wynn et al, 2017). However, they do not consider identification of improvement opportunities from a visualisation perspective.…”

Section: Introductionmentioning

confidence: 99%

A visual approach to support process analysts in working with process improvement opportunities

Kubrak

Milani

Nolte

2023

BPMJ

View full text Add to dashboard Cite

PurposeWhen improving business processes, process analysts can use data-driven methods, such as process mining, to identify improvement opportunities. However, despite being supported by data, process analysts decide which changes to implement. Analysts often use process visualisations to assess and determine which changes to pursue. This paper helps explore how process mining visualisations can aid process analysts in their work to identify, prioritise and communicate business process improvement opportunities.Design/methodology/approachThe study follows the design science methodology to create and evaluate an artefact for visualising identified improvement opportunities (IRVIN).FindingsA set of principles to facilitate the visualisation of process mining outputs for analysts to work with improvement opportunities was suggested. Particularly, insights into identifying, prioritising and communicating process improvement opportunities from visual representation are outlined.Originality/valuePrior work focuses on visualisation from the perspectives – among others – of process exploration, process comparison and performance analysis. This study, however, considers process mining visualisation that aids in analysing process improvement opportunities.

show abstract

“…Although a majority of the studies in the area of information visualisation do not focus on the business process perspective, visual analytics has been and is increasingly influencing the field of business process improvement and process mining [34,35,36,37]. As process mining techniques analyse huge amounts of business process information, the event data needs to be presented appropriately to be meaningful.…”

Section: Related Workmentioning

confidence: 99%

Change visualisation: Analysing the resource and timing differences between two event logs

Low

Aalst

Hofstede

et al. 2017

Information Systems

View full text Add to dashboard Cite

With organisations facing significant challenges to remain competitive, Business Process Improvement (BPI) initiatives are often conducted to improve the efficiency and effectiveness of their business processes, focussing on time, cost, and quality improvements. Event logs which contain a detailed record of business operations over a certain time period, recorded by an organisation's information systems, are the first step towards initiating evidence-based BPI activities. Given an (original) event log as a starting point, an approach to explore better ways to execute a business process was developed, resulting in an improved (perturbed) event log. Identifying the differences between the original event log and the perturbed event log can provide valuable insights, helping organisations to improve their processes. However, there is a lack of automated techniques and appropriate visualisations to detect the differences between two event logs. Therefore, this research aims to develop visualisation techniques to provide targeted analysis of resource reallocation and activity rescheduling. The differences between two event logs are first identified. The changes between the two event logs are conceptualised and realised with a number of visualisations. With the proposed visualisations, analysts are able to identify resource-and time-related changes that resulted in a cost reduction, and subsequently investigate and translate them into actionable items for BPI in practice. Ultimately, analysts can make use of this comparative information to initiate evidence-based BPI activities.

show abstract

Turning event logs into process movies: animating what has really happened

Cited by 14 publications

References 24 publications

Behavior Analysis for Electronic Commerce Trading Systems: A Survey

Behavior Analysis for Electronic Commerce Trading Systems: A Survey

A visual approach to support process analysts in working with process improvement opportunities

Change visualisation: Analysing the resource and timing differences between two event logs

Contact Info

Product

Resources

About