Comparative Analysis of Process Mining Algorithms in Industrial Applications

Abstract

In businesses, people have to manage the processes efficiently to build products and services to meet customer requirements. The process generally consists of a large number of activities that users need to manage efficiently. Process mining plays a vital role in all business domains. It helps organizations to organize activities and improve productivity. These processes in business generate activity data and produce overwhelming process data. Process mining helps connect these activities, applies business intelligence to the process, and finds hidden patterns in the business process. Process mining provides different process models and algorithms. The models use event log data of activities and find patterns in the process data. Process mining algorithms work on different scenarios in business and usage of domains in the application. This paper explains the various algorithms and determines the use of process mining applications in business domains. This research gives the solution to find the most suitable model for business applications.