Application of machine learning for prediction a methane concentration in a coal-mine

Applications of machine learning methods for creation rule-based data model used in prediction of a methane concentration in the excavation are described in the paper. Data coming from a methane concentration monitoring system and methodology of their transformation into a form acceptable by analytic algorithms that have been used are presented in the second chapter. Next chapter describes the rules induction algorithm used for prediction. Results of the analysis that has been performed on data coming from a coal-mine are presented at the end of the paper.