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This repository contains the code used for the "Efficient Subgroup Discovery through Auto-Encoding" paper

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Efficient Subgroup Discovery through Auto-Encoding

This repository contains the code used for the "Efficient Subgroup Discovery through Auto-Encoding" paper. It includes the following files:

  • 'ExperimentCode.ipynb' contains code used for performing the experiment.
  • 'dataImporter.py' provides a data import function which is used to load the datasets used in the paper. These datasets can be found in the 'data' folder.
  • 'autoEncoder.py' provides a function to perform dimension reduction using an auto-encoder.
  • 'beamSearch.ipynb', 'stdPysubgroup' and 'adjPysubgroup.py' contain the code used to run subgroup discovery algorithms. Note that 'stdPysubgroup' was not used for the experiment described in the paper.
  • 'qualityMeasures.py' provides functions to evaluate the subgroups generated by the subgroup discovery algorithms.
  • 'utilityFunctions.py' provides a function to perform normalization.

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This repository contains the code used for the "Efficient Subgroup Discovery through Auto-Encoding" paper

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