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—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… (More)
—DPMine generic purpose workflow language is rooted in DPMine/P scientific workflow language and a set of plug-ins for ProM which originally were developed for convenient piping of different plug-ins within ProM framework. DPMine/C is a new version of DPMine workflow language and a C++ library. The main language concept was complemented by comprehensive… (More)
—The correctness of embedded systems software is of critical importance as invalid states can cause a physical damage to hardware. and rule verification is provided for the given embedded system.
Process-aware information systems (PAIS) enable developing models for interaction of processes, monitoring accuracy of their execution and checking if they interact with each other properly. PAIS can generate large data logs that contain information about the interaction of processes in time. Studying PAIS logs with the purpose of data mining and modeling… (More)
Transition systems are a powerful formalism, which is widely used for process model representation. A number of approaches were proposed in the process mining field to tackle the problem of constructing transition systems from event logs. Existing approaches discover transition systems that are either too large or too small. In this paper we propose an… (More)
Process mining is a new direction in the field of modeling and analysis of processes, where an important role is played by the use of information from event logs that describe the history of the system behavior. Methods and approaches used in process mining are often based on various heuristics, and experiments with large event logs are crucial for… (More)