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What is Data Transformation Techniques in DM about?

This document discusses data transformation techniques used in data mining. It describes several techniques including normalization, attribute construction, aggregation, attribute subset selection, discretization, and generalization. The goal of data transformation is to transform raw data into a form that better suits data mining algorithms. Various methods for each technique are defined, with examples provided.

Author

maneesh s

Language

EN