The data set contains a set of event logs for evaluating multi-perspective trace clustering approaches in process mining. Event logs were randomly generated from 5 different process models of different complexity levels. The attribute "cluster" refers to the ground truth label. Clusters can only be correctly identified when considering both, the data and the control flow perspective (attributes and trace)
Given the complexity of real-life event logs, several trace clustering techniques have been proposed...
© Springer International Publishing AG 2017. In recent years, a multitude of techniques has been pro...
Process mining techniques have been used to analyze event logs from information systems in order to ...
The data set contains a set of event logs for evaluating multi-perspective trace clustering approach...
The data set contains an extended set of event logs for evaluating multi-perspective trace clusterin...
The goal of process discovery is to visualize event log data as a process model. In reality, however...
Process mining has proven to be a valuable tool for analyzing operational process executions based o...
Process mining refers to the discovery, conformance and enhancement of process models from event log...
International audienceProcess mining techniques use event logs containing real process executions in...
Process mining aims at mining valuable information from process execution results (called ???event l...
Process mining techniques use event logs containing real process executions in order to mine, align ...
Process mining aims at mining valuable information from process execution results (called "event log...
Information systems supporting business processes generate event data which provide the starting poi...
Given the complexity of real-life event logs, several trace clustering techniques have been proposed...
© Springer International Publishing AG 2017. In recent years, a multitude of techniques has been pro...
Process mining techniques have been used to analyze event logs from information systems in order to ...
The data set contains a set of event logs for evaluating multi-perspective trace clustering approach...
The data set contains an extended set of event logs for evaluating multi-perspective trace clusterin...
The goal of process discovery is to visualize event log data as a process model. In reality, however...
Process mining has proven to be a valuable tool for analyzing operational process executions based o...
Process mining refers to the discovery, conformance and enhancement of process models from event log...
International audienceProcess mining techniques use event logs containing real process executions in...
Process mining aims at mining valuable information from process execution results (called ???event l...
Process mining techniques use event logs containing real process executions in order to mine, align ...
Process mining aims at mining valuable information from process execution results (called "event log...
Information systems supporting business processes generate event data which provide the starting poi...
Given the complexity of real-life event logs, several trace clustering techniques have been proposed...
© Springer International Publishing AG 2017. In recent years, a multitude of techniques has been pro...
Process mining techniques have been used to analyze event logs from information systems in order to ...