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Found 7 papers, 1 papers with code
Resolving Uncertain Case Identifiers in Interaction Logs: A User Study
Modern software systems are able to record vast amounts of user actions, stored for later analysis.
Uncertain Case Identifiers in Process Mining: A User Study of the Event-Case Correlation Problem on Click Data
Among the many sources of event data available today, a prominent one is user interaction data.
Probability Estimation of Uncertain Process Trace Realizations
Process mining is a scientific discipline that analyzes event data, often collected in databases called event logs.
Removing Operational Friction Using Process Mining: Challenges Provided by the Internet of Production (IoP)
In the DFG-funded Cluster of Excellence "Internet of Production" (IoP), process mining is used to create "digital shadows" to improve a wide variety of operational processes.
Text-Aware Predictive Monitoring of Business Processes
The real-time prediction of business processes using historical event data is an important capability of modern business process monitoring systems.
PROVED: A Tool for Graph Representation and Analysis of Uncertain Event Data
The discipline of process mining aims to study processes in a data-driven manner by analyzing historical process executions, often employing Petri nets.
Conformance Checking over Uncertain Event Data
The strong impulse to digitize processes and operations in companies and enterprises have resulted in the creation and automatic recording of an increasingly large amount of process data in information systems.
