A Web-based Business Process Discovery System
Tác giả
Tóm tắt
The Structure Information Control Net (SICN) mining framework is powerful for representing business process models in workflow mining or rediscovery. This paper presents a web-based system using the SICN-oriented process mining framework along with open-source platforms such as Django, Graphviz, and Cytoscape to rediscover and visualize business process models. The discovered SICN-oriented process models from the process instances are extracted from the IEEE XES-formatted process enactment event logs dataset by rho-algorithm and visualized by transferring data from this model to a JSON or DOT formatted file that is used respectively by Cytoscape or Graphviz. The business process discovery system leverages the Django framework to build a friendly web interface providing a clear, concise, modern, and interactive view of rediscovered business processes. The system helps readers, students, and practitioners interested in process mining access and use a free process miner to learn how to rediscover and visualize a process model from event logs.