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In the paper we address the challenge of applying process mining techniques for discovering models of underground mining operations based on a sensor data. The paper presents practical approach of creation an event log based on industrial sensors data gathered in an underground mine monitoring systems. The proposed approach enables to generate event logs at different generalization levels based on several numbers of discovered stages of devices performance. For discovering process stages data mining techniques such as exploratory data analysis, clustering and classification have been applied. Created event log has been used in one of the process mining tasks - process model discovery.

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Abstract. The paper presents selected issues related to process and risk management in mining companies. For the purpose of identification and analysis of processes in the underground mine, process mining techniques were proposed. An example of their application in analysis of roof support operation process in underground coal mine is presented.