Artifical event log generated randomly from a process tree containing 30 activities. The log is neither activity complete nor directly-follows complete. Useful to test control-flow discovery capabilities
Process Mining represents an important research field that connects Business Process Modeling and Da...
Process mining allows analysts to exploit logs of historical executions of business processes to ext...
Process Mining represents an important research field that connects Business Process Modeling and Da...
Artifical event log generated randomly from a process tree containing 30 activities. The log is neit...
A synthetic event log with 100,000 traces and 900,000 events that was generated by simulating a simp...
The dataset contains three types of logs: large logs to test scalability, incomplete logs and log wi...
A synthetic event log with 100,000 traces and 900,000 events that was generated by simulating a simp...
Within the process mining domain, research oncomparing control-flow (CF) discovery techniques hasgai...
Abstract. The field of process mining provides a collection of tech-niques and tools that aim to sup...
An event log contains a historical record of the steps taken in a business process. An event log con...
Process Discovery is concerned with the automatic generation of a process model that describes a bus...
One of the main challenges in process mining is to discover a process model describing observed beha...
Abstract. Past research revealed issues with artificial event data used for comparative analysis of ...
Process mining is the research domain that is dedicated to the a posteriori analysis of business pro...
The field of process mining provides a collection of techniques and tools that aim to support the ex...
Process Mining represents an important research field that connects Business Process Modeling and Da...
Process mining allows analysts to exploit logs of historical executions of business processes to ext...
Process Mining represents an important research field that connects Business Process Modeling and Da...
Artifical event log generated randomly from a process tree containing 30 activities. The log is neit...
A synthetic event log with 100,000 traces and 900,000 events that was generated by simulating a simp...
The dataset contains three types of logs: large logs to test scalability, incomplete logs and log wi...
A synthetic event log with 100,000 traces and 900,000 events that was generated by simulating a simp...
Within the process mining domain, research oncomparing control-flow (CF) discovery techniques hasgai...
Abstract. The field of process mining provides a collection of tech-niques and tools that aim to sup...
An event log contains a historical record of the steps taken in a business process. An event log con...
Process Discovery is concerned with the automatic generation of a process model that describes a bus...
One of the main challenges in process mining is to discover a process model describing observed beha...
Abstract. Past research revealed issues with artificial event data used for comparative analysis of ...
Process mining is the research domain that is dedicated to the a posteriori analysis of business pro...
The field of process mining provides a collection of techniques and tools that aim to support the ex...
Process Mining represents an important research field that connects Business Process Modeling and Da...
Process mining allows analysts to exploit logs of historical executions of business processes to ext...
Process Mining represents an important research field that connects Business Process Modeling and Da...
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