DPMine: modeling and process mining tool
Volume of the data information system operate has been rapidly increasing. Data logs have long been known, as they are a useful tool to solve a range of tasks. The amount of information that is written to a log during a specified length of time leads to the so-called problem of “big data”. Process-aware information systems (PAIS) allow developing models of processes interaction, been monitoring accuracy of their performance and correctness of interaction with each other. Studying logs of PAIS in order to extract knowledge about the processes and construct their models has to do with the process mining discipline. There are available developed tools for process mining, both on a commercial and on a free basis. We are proposing a concept of a new DPMine tool for building a model of multistage process mining from individual processing units connected to each other in a processing graph. The resulting model is executed (simulated) by making an incremental process from the beginning to the end.