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Data Quality: Why Preprocess the Data?

  • Measures for data quality: A multidimensional view
    • Accuracy: correct or wrong, accurate or not
    • Completeness: not recorded, unavailable, …
    • Consistency: some modified but some not, dangling, …
    • Timeliness: timely update?
    • Believability: how trustable the data are correct?
    • Interpretability: how easily the data can be understood?

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