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What is Descriptive Data Summarization in Mining about?

This document discusses data pre-processing techniques. It covers why pre-processing is important, descriptive data summarization including measures of central tendency and dispersion, data cleaning techniques to handle missing values and noise, data integration to combine data from multiple sources, and data reduction to reduce redundancy.

Author

indira

Language

EN