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What is Data about?

The document provides an introduction to data mining, focusing on data preprocessing and the types of data and attributes involved. It discusses various attribute types, data quality issues, and preprocessing techniques such as aggregation, sampling, and dimensionality reduction. The document emphasizes the importance of handling missing values, noise, and outliers in data mining processes.

Author

rundalomary12

Language

EN