Summary
Create a script to read event logs in .csv format. Using pm4py implement process mining techniques (finding start/end activities, tree discovery, graph construction, etc).
Task List
Function Signatures
start_end_activities() // Finds the start and end activities of the events with the given csv path
generate_tree_inductive() // Generates tree structure of event logs
generate_graph_inductive() // Generates graph of event logs
generate_performance_graph_dfg() // Generate performance DFG
generate_count_graph_dfg() // Generate count DFG
generate_petri_net_inductive() // Generate Petri Net
Helper functions in csv_generator.py and io.py
References
PM4PY Github
PM4PY Documentation
Summary
Create a script to read event logs in .csv format. Using pm4py implement process mining techniques (finding start/end activities, tree discovery, graph construction, etc).
Task List
Function Signatures
start_end_activities() // Finds the start and end activities of the events with the given csv path
generate_tree_inductive() // Generates tree structure of event logs
generate_graph_inductive() // Generates graph of event logs
generate_performance_graph_dfg() // Generate performance DFG
generate_count_graph_dfg() // Generate count DFG
generate_petri_net_inductive() // Generate Petri Net
Helper functions in csv_generator.py and io.py
References
PM4PY Github
PM4PY Documentation