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Mining data from coal mines: IJCRS’15 data challenge

  • University of Warsaw
  • Institute of Innovative Technologies EMAG
  • Infobright Inc.

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

22 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationRough Sets, Fuzzy Sets, Data Mining and Granular Computing - 15th International Conference, RSFDGrC 2015, Proceedings
EditorsYiyu Yao, Jerzy W. Grzymala-Busse, Hong Yu, Qinghua Hu
PublisherSpringer Verlag
Pages429-438
Number of pages10
ISBN (Print)9783319257822
DOIs
Publication statusPublished - 2015
Event15th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC 2015 - Tianjin, China
Duration: 20 Nov 201523 Nov 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9437
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC 2015
Country/TerritoryChina
CityTianjin
Period20/11/1523/11/15

Keywords

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

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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