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International Conference on Man–Machine Interactions

ICMMI 2017: Man-Machine Interactions 5 pp 301–310Cite as

Decision Rule Learning from Stream of Measurements—A Case Study in Methane Hazard Forecasting in Coal Mines

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 659))

Abstract

The approach based on the Very Fast Decision Rules algorithm in application to prediction of alarm state resulting from methane hazard in coal mines is presented in this work. The approach introduces the modification of rule induction process due to application of the Correlation rule quality measure. An evaluation of the introduced method on a real life stream data collected from coal mine sensors is performed. The results show advantages of the introduced method considering both the classification quality and the rule-based knowledge representation.

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Notes

  1. 1.

    The data set is available at http://adaa.polsl.pl/software.html.

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Acknowledgements

The work was carried out within the statutory research projects of the Institute of Electronics, Silesian University of Technology (BK_220 /RAu-3/2016 (02/030/BK_16/0017)) and the statutory research fund of the Institute of Innovative Technologies EMAG.

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Authors and Affiliations

  1. Institute of Electronics, Silesian University of Technology, Gliwice, Poland

    Michał Kozielski

  2. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Paweł Matyszok, Marek Sikora & Łukasz Wróbel

  3. Institute of Innovative Technologies EMAG, Katowice, Poland

    Marek Sikora & Łukasz Wróbel

Authors
  1. Michał Kozielski
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  2. Paweł Matyszok
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  3. Marek Sikora
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  4. Łukasz Wróbel
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Corresponding author

Correspondence to Michał Kozielski .

Editor information

Editors and Affiliations

  1. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Aleksandra Gruca

  2. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Tadeusz Czachórski

  3. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Katarzyna Harezlak

  4. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Stanisław Kozielski

  5. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Agnieszka Piotrowska

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Kozielski, M., Matyszok, P., Sikora, M., Wróbel, Ł. (2018). Decision Rule Learning from Stream of Measurements—A Case Study in Methane Hazard Forecasting in Coal Mines. In: Gruca, A., Czachórski, T., Harezlak, K., Kozielski, S., Piotrowska, A. (eds) Man-Machine Interactions 5. ICMMI 2017. Advances in Intelligent Systems and Computing, vol 659. Springer, Cham. https://doi.org/10.1007/978-3-319-67792-7_30

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  • DOI: https://doi.org/10.1007/978-3-319-67792-7_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67791-0

  • Online ISBN: 978-3-319-67792-7

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