Understanding Impartial Versus Utility-Driven Quality Assessment In Large Datasets

@inproceedings{Even2007UnderstandingIV,
  title={Understanding Impartial Versus Utility-Driven Quality Assessment In Large Datasets},
  author={Adir Even and Ganesan Shankaranarayanan},
  booktitle={ICIQ},
  year={2007}
}
Establishing and sustaining very high data quality in complex data environments is expensive and often practically impossible. Quantitative assessments of quality can provide important inputs for prioritizing improvement efforts. This study explores a methodology that evaluates both impartial and utility-driven assessments of data quality. Impartial assessments evaluate and measure the extent to which data is defective. Utility-driven assessments measure the extent to which the presence of… CONTINUE READING

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