Add to ORKGThe data set contains an extended 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). The extended dataset contains more noise levels as well as a different generation process regarding the case attributes
Process mining techniques use event logs containing real process executions in order to mine, align ...
Information systems supporting business processes generate event data which provide the starting poi...
Process mining techniques have been used to analyze event logs from information systems in order to ...
The data set contains an extended set of event logs for evaluating multi-perspective trace clusterin...
The data set contains a set of event logs for evaluating multi-perspective trace clustering approach...
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...
International audienceProcess mining techniques use event logs containing real process executions in...
Process mining refers to the discovery, conformance and enhancement of process models from event log...
Process mining aims at mining valuable information from process execution results (called ???event l...
Process mining aims at mining valuable information from process execution results (called "event log...
Process mining techniques use event logs containing real process executions in order to mine, align ...
Information systems supporting business processes generate event data which provide the starting poi...
Process mining techniques have been used to analyze event logs from information systems in order to ...
The data set contains an extended set of event logs for evaluating multi-perspective trace clusterin...
The data set contains a set of event logs for evaluating multi-perspective trace clustering approach...
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...
International audienceProcess mining techniques use event logs containing real process executions in...
Process mining refers to the discovery, conformance and enhancement of process models from event log...
Process mining aims at mining valuable information from process execution results (called ???event l...
Process mining aims at mining valuable information from process execution results (called "event log...
Process mining techniques use event logs containing real process executions in order to mine, align ...
Information systems supporting business processes generate event data which provide the starting poi...
Process mining techniques have been used to analyze event logs from information systems in order to ...