Guiding feature subset selection with an interactive visualization

@article{May2011GuidingFS,
  title={Guiding feature subset selection with an interactive visualization},
  author={Thorsten May and Andreas Bannach and James Davey and Tobias Ruppert and J{\"o}rn Kohlhammer},
  journal={2011 IEEE Conference on Visual Analytics Science and Technology (VAST)},
  year={2011},
  pages={111-120}
}
We propose a method for the semi-automated refinement of the results of feature subset selection algorithms. Feature subset selection is a preliminary step in data analysis which identifies the most useful subset of features (columns) in a data table. So-called filter techniques use statistical ranking measures for the correlation of features. Usually a measure is applied to all entities (rows) of a data table. However, the differing contributions of subsets of data entities are masked by… CONTINUE READING

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