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Application of rule induction algorithms for analysis of data collected by seismic hazard monitoring systems in coal mines

  • Institute of Innovative Technologies EMAG

Research output: Contribution to journalArticlepeer-review

56 Citations (Scopus)

Abstract

The article presents the results of application of rule induction algorithms for predictive classification of states of rockburst hazard in a longwall. Used in mining practice computer system which is a source of valuable data was described at the beginning of this article. The rule induction algorithm and the way of improving classification accuracy were explained in the theoretical part. The results of analysis of data from two longwalls were presented in the experimental section.

Original languageEnglish
Pages (from-to)91-114
Number of pages24
JournalArchives of Mining Sciences
Volume55
Issue number1
Publication statusPublished - 2010

Keywords

  • Classification
  • Microseismic hazard prediction
  • Rule-based systems

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Geochemistry and Petrology

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