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Topic of the competition: Active monitoring and prevention of methane outbreaks.

IJCRS'15 Data Challenge: Mining Data from Coal Mines is a competition organized within a frame of The 2015 International Joint Conference on Rough Sets (IJCRS'15). It continues the tradition of data mining challenges associated with rough set conferences. This time, the task is related to the problem of monitoring and prediction of dangerous concentrations of methane in longwalls of a Polish coal mine. The competition is sponsored by Research and Development Centre EMAG (http://www.emag.pl/) with support from International Rough Set Society.

Topic outline

  • Coal mining requires working in hazardous conditions. Miners in an underground coal mine can face several threats, such as, e.g. methane explosions or rock-burst. To provide protection for people working underground, systems for active monitoring of a production processes are typically used. One of their fundamental applications is screening dangerous gas concentrations (methane in particular) in order to prevent spontaneous explosions [1]. Therefore, for that purpose the ability to predict dangerous concentrations of gases in the nearest future can be even more important then monitoring the current sensor readings [2].

    We would like to address this particular problem in IJCRS'15 Data Challenge: Mining Data from Coal Mines. More details regarding the task and a description of the competition data can be found in Task Description section.

    Special session at IJCRS'15: A special session devoted to the competition will be held at the conference. We will invite authors of selected reports to extend them for publication in the conference proceedings (after reviews by Organizing Committee members) and presentation at the conference. The publications will be treated as regular papers. The invited teams will be chosen based on their final rank, innovativeness of their approach and quality of the submitted report.

    Awards: Authors of the top ranked solutions (based on the final evaluation scores) will be awarded with prizes funded by our sponsors:

    • First Prize: 1000 USD + one free IJCRS'15 conference registration,
    • Second Prize: 500 USD + one free IJCRS'15 conference registration,
    • Third Prize: one free IJCRS'15 conference registration.

    The award ceremony will take place during the IJCRS'15 conference (Oct 20-23, 2015, Jeju Island, Korea).


    • April 13, 2015: start of the competition, data sets become available,
    • June 20, 2015: deadline for submitting the predictions,
    • June 22 June 25, 2015: deadline for sending the reports, end of the challenge,
    • June 29, 2015: on-line publication of final results, sending invitations for submitting short papers for the special session at IJCRS'15,
    • July 12, 2015: deadline for submissions of papers describing the selected solutions,
    • July 19, 2015: deadline for submissions of camera-ready papers selected for presentation at the IJCRS'15.

    Contest Organizing Committee:

    • Andrzej Janusz, University of Warsaw
    • Marek Sikora, Silesian University of Technology
    • Łukasz Wróbel, Institute of Innovative Technologies EMAG
    • Sebastian Stawicki, University of Warsaw
    • Marek Grzegorowski, University of Warsaw
    • Dominik Ślęzak, University of Warsaw & Infobright Inc.

    In case of any questions please post on the competition forum or write us an email: webmaster@knowledgepit.fedcsis.org


    1. M. Kozielski, A. Skowron, Ł. Wróbel, M. Sikora: “Regression Rule Learning for Methane Forecasting in Coal Mines“, Beyond Databases, Architectures, and Structures, CCIS, Vol. 521, Springer International Publishing, pp. 495-504, 2015
    2. A. Krasuski, A. Jankowski, A. Skowron, and D. Ślęzak: “From sensory data to decision making: A perspective on supporting a fire commander”, in Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2013 IEEE/WIC/ACM International Joint Conferences on, vol. 3. IEEE, 2013, pp. 229–236
    3. H.S. Nguyen: “On Efficient Handling of Continuous Attributes in Large Data Bases”, Fundamenta Informaticae, 48(1):61–81, 2001
    4. J.W. Grzymala-Busse: “A New Version of the Rule Induction System LERS”, Fundamenta Informaticae, 31, pp. 27-39, 1997
    5. L.S. Riza, A. Janusz, C. Bergmeir, C. Cornelis, F. Herrera, D. Ślęzak, and J.M. Benítez: “Implementing Algorithms of Rough Set Theory and Fuzzy Rough Set Theory in the R Package ’RoughSets’”, Information Sciences, 287(0):68–89, 2014
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    A summary of the competition.

  • Challenge information and data

    Below is a link to Terms and Conditions of the competition. It MUST be read and accepted in order to enroll.