Mind map
Data preprocessing
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Data pre-processing
- Data pre-processing is a data mining technique that involves transforming raw data into an understandable format
Data cleaning
- Data is cleansed through processes such as filling in missing values, smoothing the noisy data, or resolving the inconsistencies in the data.
- Missing values
- Noisy data
- Data cleaning as a process
- Data integration and transformation
Data reduction
- This step aims to present a reduced representation of the data in a data warehouse.
- Data cube aggregation
- Attributes subset selection
- Dimensionality reduction
- Numerosity reduction
- Data discretization and concept hierarchy generation
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- Mind Map on Data preprocessing, created by microbiologysiva on 21/02/2015.
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- microbiologysiva
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