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  1. copies the two files from input to trainingData/<yyyymmdd>_<measure>_<bin>
  2. reads all files in model and trainingData 
  3. creates the file output/<hotspotname>.dne and the folder webviewer with all relevant files and writes them to output 
  4. creates a new directory output/webviewer with subfolders and files relevant to the webviewer

The user can open <hotspotname>.dne with a Bayesian network software. Note that input (and consequently trainingData) can be empty for the BNA to run. In this case <hotspotname>.dne represents the structure of the decision support, but does not contain any quantitative information. 

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