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What is Data Preprocessing Techniques Explained about?

The document covers data preprocessing, detailing data objects, attribute types, and methods for cleaning, integrating, transforming, reducing, and discretizing data. It emphasizes the importance of understanding data characteristics through statistical descriptions and outlines techniques for handling missing values, noise, and inconsistencies. Additionally, it discusses measures of similarity and dissimilarity to facilitate data analysis and mining.

Author

Mukesh pant

Language

EN