The article describes the basic principles and methods

The article presents an approach for automated generation of business process models by applying process mining techniques to event logs created during the operation of information systems used in an organization. Existing algorithms for process mining are discussed. Criteria for performing a comparative analysis of these algorithms are specified. А framework is proposed in which to build and analyze business process models. The framework includes tools for initial analysis of the event log file, extracting elements of a business process model, and composing a new model by applying a trained neural network.

No abstract

The paper emphases the importance of the correct and consistent business process planning. The most important objective in business process generation is the proper execution of the activities in a business organization and studying the links between them. To visualize all business processes in a system a subprocess -connector has been created that helps to detect the deadlock markings in a system. It is impossible to change a component without interfering the operation with the others. Several aspects of Petri Nets as a tool for process simulation and surmounting the deadlocks in a system are presented.