Datasets & Software

Our datasets:

  • Data which are refered to in “Boolean Representation for Exact Biclustering”
  • Methane data which are refered to in “A Framework for Learning and Embedding Multi-Sensor Forecasting Models into a Decision Support System: A Case Study of Methane Concentration in Coal Mines”
  • HGR – Database for hand gesture recognition
  • Methane – Datasets analysed in “Decision rule learning from stream of measurements — a case study in methane hazard forecasting in coal mines”. The data set was collected within the DISESOR project
  • Seismic-bumps  – The data describe the problem of high energy (higher than 10^4 J) seismic bumps forecasting in a coal mine
  • Gene data – Datasets analysed in “Relatives-based granular Gene Ontology term similarity measures – broad comparison and analysis”
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