What kind of data preprocessing do we need before applying a data mining algorithm to any dataset?

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  • Data preprocessing techniques are applied before mining.
  • These can improve the overall quality of the patterns mined and the time required for the actual mining.
  • Some important data preprocessing that must be needed before applying data mining algorithm to any data sets are:

1. Data cleaning

2. Data integration

3. Data transformation

4. Data reduction

5. Data discretization




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