Maximum Consistency of Incomplete Data via Non-Invasive Imputation

@article{Gediga2003MaximumCO,
  title={Maximum Consistency of Incomplete Data via Non-Invasive Imputation},
  author={G{\"u}nther Gediga and Ivo D{\"u}ntsch},
  journal={Artificial Intelligence Review},
  year={2003},
  volume={19},
  pages={93-107}
}
We present an algorithm to impute missingvalues from given dataalone, and analyse its performance. Theproposed procedure is based onnon-numeric rule based data analysis, and aimsto maximise consistency of imputation from known values. Incontrast to the prevailingstatistical imputation algorithms, it does notmake representationalassumptions or presupposes other modelconstraints. Therefore, it is suitablefor a wide variety of data – sets, and can beused as a pre-processing step beforeresorting to… CONTINUE READING

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