Getting the Data in Shape for Your Process Mining Analysis: An In-Depth Analysis of the Pre-Analysis Stage

SK Pradhan, M Jans, N Martin - ACM Computing Surveys, 2025 - dl.acm.org
Process mining enables organizations to analyze the data stored in their information
systems and derive insights regarding their business processes. However, raw data needs …

Process mining applications in healthcare: a systematic literature review

L Aversano, M Iammarino, A Madau, G Pirlo… - PeerJ Computer …, 2025 - peerj.com
Process mining applications in healthcare is a field widely investigated in the last years. Its
diffusion is driven by increasing digitalization and the availability of large quantities of …

Shedding light on blind spots–develo** a reference architecture to leverage video data for process mining

W Kratsch, F König, M Röglinger - Decision support systems, 2022 - Elsevier
Process mining is one of the most active research streams in business process
management. In recent years, numerous methods have been proposed for analyzing …

Process mining for process improvement-an evaluation of analysis practices

K Kubrak, F Milani, A Nolte - International Conference on Research …, 2022 - Springer
Organizations have a vital interest in continuously improving their business processes.
Process analysts can use process mining tools that provide data-driven discovery and …

[HTML][HTML] Online correlation for unlabeled process events: A flexible CEP-based approach

IMA Helal, A Awad - Information systems, 2022 - Elsevier
Process mining is a sub-field of data mining that focuses on analyzing timestamped and
partially ordered data. This type of data is commonly called event logs. Each event is …

Discovering data models from event logs

D Bano, M Weske - … Modeling: 39th International Conference, ER 2020 …, 2020 - Springer
Business process mining is becoming an increasingly important field for understanding the
behavioral perspective of any given organization. In a process mining project, process …

Deriving event logs from legacy software systems

M Breitmayer, L Arnold, SL Rocca… - … Conference on Process …, 2022 - Springer
The modernization of legacy software systems is one of the key challenges in software
industry, which requires comprehensive system analysis. In this context, process mining has …

Towards a domain-specific modeling language for extracting event logs from ERP systems

A Pajić Simović, S Babarogić, O Pantelić, S Krstović - Applied Sciences, 2021 - mdpi.com
Enterprise resource planning (ERP) systems are often seen as viable sources of data for
process mining analysis. To perform most of the existing process mining techniques, it is …

Analysis of automated guided vehicles performance based on process mining techniques

A Ramos-Soto, A Dacal-Nieto… - Data Technologies …, 2024 - emerald.com
Purpose Process mining has emerged in the last decade as one of the most promising tools
to discover and understand the actual execution of processes. This paper addresses the …

Business process models complexity growth analysis based on scheduling generated by timetabling of courses

MA Yaqin, R Sarno… - … Journal of Intelligent …, 2021 - repository.uin-malang.ac.id
Business process models can represent course schedules. Every business process model
has complexity. The greater the number of courses and the number of study groups, the …