Mining Data from Coal Mines: IJCRS’15 Data Challenge

  • Andrzej Janusz
  • Marek Sikora
  • Łukasz Wróbel
  • Sebastian Stawicki
  • Marek Grzegorowski
  • Piotr Wojtas
  • Dominik Ślęzak
Conference paper

DOI: 10.1007/978-3-319-25783-9_38

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9437)
Cite this paper as:
Janusz A. et al. (2015) Mining Data from Coal Mines: IJCRS’15 Data Challenge. In: Yao Y., Hu Q., Yu H., Grzymala-Busse J. (eds) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. Lecture Notes in Computer Science, vol 9437. Springer, Cham

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.

Keywords

Data mining competitions Time series data Attribute engineering Feature extraction High dimensional data. 

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Andrzej Janusz
    • 1
  • Marek Sikora
    • 2
  • Łukasz Wróbel
    • 2
    • 3
  • Sebastian Stawicki
    • 1
    • 4
  • Marek Grzegorowski
    • 1
  • Piotr Wojtas
    • 3
  • Dominik Ślęzak
    • 1
    • 4
  1. 1.Institute of Mathematics, University of WarsawWarsawPoland
  2. 2.Institute of Computer Science, Silesian University of TechnologyGliwicePoland
  3. 3.Institute of Innovative Technologies EMAGKatowicePoland
  4. 4.Infobright Inc.WarsawPoland

Personalised recommendations