[HTML][HTML] Process mining and data mining applications in the domain of chronic diseases: A systematic review
The widespread use of information technology in healthcare leads to extensive data
collection, which can be utilised to enhance patient care and manage chronic illnesses. Our …
collection, which can be utilised to enhance patient care and manage chronic illnesses. Our …
Turning logs into lumber: preprocessing tasks in process mining
Event logs are invaluable for conducting process mining projects, offering insights into
process improvement and data-driven decision-making. However, data quality issues affect …
process improvement and data-driven decision-making. However, data quality issues affect …
A taxonomy of log preprocessing techniques in process mining
Y Liu - 2024 - studenttheses.uu.nl
Context-Process Mining is a discipline that intersects business process management and
data science. Event logs are extracted from information systems and analyzed through …
data science. Event logs are extracted from information systems and analyzed through …
[PDF][PDF] Combining metaheuristics and process mining to improve manufacturing processes
A Kinast - 2023 - phaidra.univie.ac.at
Industry and logistics currently experience a significant shift towards novel technologies
such as cooperative robots (cobots). These cobots can share a workspace with a human …
such as cooperative robots (cobots). These cobots can share a workspace with a human …
Proposing a Novel Methodology for Process Mining in Clinical Epidemiology: Insights and Validation from a Case Study on Chronic Kidney Disease Progression
Objective: The application of process mining in clinical epidemiology studies is limited
despite the potential it holds for researching longitudinal data. The objective of this study is …
despite the potential it holds for researching longitudinal data. The objective of this study is …