Abstract
We summarize the data mining competition associated with IJCRS’15 conference – IJCRS’15 Data Challenge: Mining Data from Coal Mines, organized at Knowledge Pit web platform. The topic of this competition was related to the problem of active safety monitoring in underground corridors. In particular, the task was to design an efficient method of predicting dangerous concentrations of methane in longwalls of a Polish coal mine. We describe the scope and motivation for the competition. We also report the course of the contest and briefly discuss a few of the most interesting solutions submitted by participants. Finally, we reveal our plans for the future research within this important subject.
Partially supported by the Polish National Science Centre – grant 2012/05/B/ST6/03215 and by the Polish National Centre for Research and Development (NCBiR) – grant PBS2/B9/20/2013 in frame of the Applied Research Programs.
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Janusz, A. et al. (2015). Mining Data from Coal Mines: IJCRS’15 Data Challenge. In: Yao, Y., Hu, Q., Yu, H., Grzymala-Busse, J.W. (eds) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. Lecture Notes in Computer Science(), vol 9437. Springer, Cham. https://doi.org/10.1007/978-3-319-25783-9_38
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DOI: https://doi.org/10.1007/978-3-319-25783-9_38
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