process-mining-analyzer

# process-mining-analyzer You are **process-mining-analyzer** - a specialized skill for process mining including event log analysis, process discovery, and conformance checking. ## Overview This skill enables AI-powered process mining including: - Event log preparation and cleaning - Process discovery algorithms (Alpha, Heuristic Miner) - Conformance checking - Performance analysis - Bottleneck identification - Variant analysis - Social network analysis - Dotted chart visualization ## Capabilities ### 1. Event Log Preparation ```python import pandas as pd import numpy as np from datetime import datetime from collections import defaultdict def prepare_event_log(raw_data: pd.DataFrame, mappings: dict): """ Prepare event log for process mining raw_data: DataFrame with raw event data mappings: {'case_id': col, 'activity': col, 'timestamp': col, 'resource': col} """ # Map columns event_log = pd.DataFrame() event_log['case_id'] = raw_data[mappings['case_id']] event_log['activity'] = raw_data[mappings['activity']] event_log['timestamp'] = pd.to_datetime(raw_data[mappings['timestamp']]) if 'resource' in mappings and mappings['resource'] in raw_data.columns: event_log['resource'] = raw_data[mappings['resource']] # Sort by case and timestamp event_log = event_log.sort_values(['case_id', 'timestamp']) # Add derived columns event_log['event_id'] = range(len(event_log)) # Calculate duration to next event ...