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Rapid Miner: Data Transformation
Rapid Miner: Data Transformation
Rapid Miner: Data Transformation
Rapid Miner: Data Transformation
Rapid Miner: Data Transformation
Rapid Miner: Data Transformation
Rapid Miner: Data Transformation
Rapid Miner: Data Transformation
Rapid Miner: Data Transformation
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Rapid Miner: Data Transformation

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Rapid Miner: Data Transformation

Rapid Miner: Data Transformation

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Transcript

  • 1. RapidMiner
    Data transformation
  • 2. Pivot transforms an example set by grouping multiple examples of single units to single examples
  • 3. Using Rotation Pivot
    Add the rotation pivot the process
  • 4. Data cleansing: Replacing missing Values
  • 5. Data cleansing: Replacing missing Values
    Add the data cleansing operator to the model
  • 6. Data cleansing: Setting default value to zero
    Change the parameters of the operator to default zero. This means that the customer did not buy that item.
  • 7. The complete model
    Add the other required operators. The final process will look something like this:
  • 8. Result overview
    Execute process and view results
  • 9. More Questions?
    Reach us at support@dataminingtools.net
    Visit: www.dataminingtools.net

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