A robust data science application that applies Process Mining techniques to automatically discover, monitor, and improve real business processes by extracting knowledge from event logs readily available in information systems.
- Event Log Processing: Parses and structures complex temporal event data.
- Process Discovery: Automatically reconstructs process models and visualizes actual workflow paths.
- Bottleneck Analysis: Identifies inefficiencies and delays within the modeled workflows.
- Language: Python 3.x
- Domain: Data Analytics / Process Mining
- Install required dependencies:
pip install -r requirements.txt - Run the application interface:
python code/app.py
Developed by: Haider Ali