A Road-map for Mining Business Process Models via Artificial Intelligence Techniques

Authors : Afifi CHAİMA, Ali KHEBIZI

Pages : 27-51

Doi:10.53508/ijiam.1036234

View : 15 | Download : 10

Publication Date : 2022-06-28

Article Type : Review Paper

Abstract :Nowadays, the size of data recorded and stored in enterprises information systems insert ignore into journalissuearticles values(IS); is increasing every second. To face to this phenomenon, contemporary technologies play a major role for gathering, analyzing, storing, and distributing data that enables organizations to make smart decisions and to take full control of their activities. The traditional Business Process insert ignore into journalissuearticles values(BP); mining techniques were intensively used to discover, monitor, and optimize processes from event-logs without needing any priory model. However, the majority of the suggested algorithms have exhibited their limits insert ignore into journalissuearticles values(such as discovering nested loops, managing duplicate and hidden tasks as well as dealing with concurrent processes);. In parallel, recent advances in the Artificial Intelligence insert ignore into journalissuearticles values(AI); discipline have generated a great deal of enthusiasm in a large spectrum of research area. In this perspective, AI methods emerge as one of the pillars to overcome the drawbacks of the conventional approaches allowing anomalies detection, prediction and recommendation tasks on ongoing process instances at run-time. The aim of this work is to explore towards the use of AI techniques in the field of business process mining by presenting a state-of-the-art review ranging from traditional PM approaches to AI ones, as well as outlining a prospective road-map for mining business process models basing on AI techniques.
Keywords : Business process, Business process management, Business process modeling, Process mining, Machine learning, Deep learning