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Handling Redundancy in Data Integration

  • Redundant data occur often when integration of multiple databases
    • Object identification: The same attribute or object may have different names in different databases
    • Derivable data: One attribute may be a “derived” attribute in another table, e.g., annual revenue
  • Redundant attributes may be able to be detected by correlation analysis and covariance analysis
  • Careful integration of the data from multiple sources may help reduce/avoid redundancies and inconsistencies and improve mining speed and quality

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