Process mining techniques and applications–A systematic mapping study
C dos Santos Garcia, A Meincheim, ERF Junior… - Expert Systems with …, 2019 - Elsevier
Process mining is a growing and promising study area focused on understanding processes
and to help capture the more significant findings during real execution rather than, those …
and to help capture the more significant findings during real execution rather than, those …
[HTML][HTML] A systematic literature review on state-of-the-art deep learning methods for process prediction
Process mining enables the reconstruction and evaluation of business processes based on
digital traces in IT systems. An increasingly important technique in this context is process …
digital traces in IT systems. An increasingly important technique in this context is process …
[HTML][HTML] Process mining for healthcare: Characteristics and challenges
Process mining techniques can be used to analyse business processes using the data
logged during their execution. These techniques are leveraged in a wide range of domains …
logged during their execution. These techniques are leveraged in a wide range of domains …
Process mining: a 360 degree overview
WMP van der Aalst - Process Mining Handbook, 2022 - Springer
Process mining enables organizations to uncover their actual processes, provide insights,
diagnose problems, and automatically trigger corrective actions. Process mining is an …
diagnose problems, and automatically trigger corrective actions. Process mining is an …
[HTML][HTML] Effects of real-time analytics-based personalized scaffolds on students' self-regulated learning
Abstract Self-Regulated Learning (SRL) is related to increased learning performance.
Scaffolding learners in their SRL activities in a computer-based learning environment can …
Scaffolding learners in their SRL activities in a computer-based learning environment can …
Process science in action: A literature review on process mining in business management
Process Mining is a new kind of Business Analytics and has emerged as a powerful family of
Process Science techniques for analysing and improving business processes. Although …
Process Science techniques for analysing and improving business processes. Although …
A survey on concept drift in process mining
DMV Sato, SC De Freitas, JP Barddal… - ACM Computing …, 2021 - dl.acm.org
Concept drift in process mining (PM) is a challenge as classical methods assume processes
are in a steady-state, ie, events share the same process version. We conducted a systematic …
are in a steady-state, ie, events share the same process version. We conducted a systematic …
[PDF][PDF] Process Mining and Robotic Process Automation: A Perfect Match.
J Geyer-Klingeberg, J Nakladal, F Baldauf… - BPM (Dissertation/Demos …, 2018 - ceur-ws.org
Robotic process automation (RPA) provides a virtual workforce to automatize manual,
repetitive and error-prone tasks. However, successful process automation requires …
repetitive and error-prone tasks. However, successful process automation requires …
Fifty years of information management research: A conceptual structure analysis using structural topic modeling
Abstract Information management is the management of organizational processes,
technologies, and people which collectively create, acquire, integrate, organize, process …
technologies, and people which collectively create, acquire, integrate, organize, process …
Discovering block-structured process models from event logs containing infrequent behaviour
SJJ Leemans, D Fahland… - … Workshops: BPM 2013 …, 2014 - Springer
Given an event log describing observed behaviour, process discovery aims to find a process
model that 'best'describes this behaviour. A large variety of process discovery algorithms …
model that 'best'describes this behaviour. A large variety of process discovery algorithms …