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A Web-based Business Process Discovery System

Năm XB 2023 Tạp chí / Hội thảo The 18th Asia Pacific International Conference on Information Science and Technology (APIC-IST 2023) DOI / Link https://apicist.org/media?key=site%2Fapicist2023%2FProceedings_of_APIC-IST_2023.pdf#page=102 ↗

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.