Data Reduction Technique
Data Reduction Technique is a process of reducing the volume of data by obtaining a reduced representation of the original data that is much smaller in quantity but still contains much of the important information. This technique is used to simplify the data and make it more manageable for analysis. Data reduction techniques can be applied to both structured and unstructured data. The process of data reduction involves selecting, transforming, and encoding the data. The selected data is transformed into a smaller set of variables that still retain the important information. Encoding techniques are then used to represent the data in a compressed form. Data reduction techniques are commonly used in machine learning, data mining, and statistical analysis.
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