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Incomplete (Missing) Data

  • Data is not always available
    • E.g., many tuples have no recorded value for several attributes, such as customer income in sales data
  • Missing data may be due to
    • equipment malfunction
    • inconsistent with other recorded data and thus deleted
    • data not entered due to misunderstanding
    • certain data may not be considered important at the time of entry
    • not register history or changes of the data
  • Missing data may need to be inferred

Speaker notes:

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