DPMine Graphical Language for Automation of Experiments in Process Mining
https://doi.org/10.18255/1818-1015-2014-5-102-115
Abstract
Process mining is a new direction in the field of modeling and analysis of processes, where the use of information from event logs describing the history of the system behavior plays an important role. Methods and approaches used in the process mining are often based on various heuristics, and experiments with large event logs are crucial for the study and comparison of the developed methods and algorithms. Such experiments are very time consuming, so automation of experiments is an important task in the field of process mining. This paper presents the language DPMine developed specifically to describe and carry out experiments on the discovery and analysis of process models. The basic concepts of the DPMine language as well as principles and mechanisms of its extension are described. Ways of integration of the DPMine language as dynamically loaded components into the VTMine modeling tool are considered. An illustrating example of an experiment for building a fuzzy model of the process discovered from the log data stored in a normalized database is given.
About the Author
S. A. Shershakov
National Research University Higher School of Economics
Russian Federation
науч. сотр. международной научно-учебной лаборатории процессно-ориентированных информационных систем, Myasnitskaya str., 20, Moscow, 101000, Russia
Russian Federation
науч. сотр. международной научно-учебной лаборатории процессно-ориентированных информационных систем, Myasnitskaya str., 20, Moscow, 101000, Russia
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For citations:
Shershakov S.A. DPMine Graphical Language for Automation of Experiments in Process Mining. Modeling and Analysis of Information Systems. 2014;21(5):102-115. (In Russ.) https://doi.org/10.18255/1818-1015-2014-5-102-115
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