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What is Data Preprocessing in Data Mining about?

The document discusses data preprocessing techniques for knowledge discovery and data mining. It covers why preprocessing is important, as real-world data is often dirty, noisy, and inconsistent. The major tasks of preprocessing discussed are data cleaning, integration, transformation, and reduction. Data cleaning involves handling missing data, noisy data, and inconsistencies. Data integration combines data from multiple sources. Data transformation includes normalization, aggregation, and attribute constr

Author

Akbar Kushanoor

Language

EN