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What is Data Preprocessing about?

1. Data preprocessing techniques are used to improve the quality, efficiency, and results of data mining by cleaning data, integrating data from multiple sources, reducing data size, and transforming data. 2. Common issues with real-world databases include noisy, missing, and inconsistent data which can be addressed through techniques like data cleaning, integration, reduction, and transformation. 3. The goals of data preprocessing are to improve data quality by addressing issues like accuracy, completen

Author

Stephen Paul

Language

EN