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What is Data Mining Overview and Techniques about?

Data mining refers to extracting knowledge from large amounts of data. The types of data that can be mined include database data, data warehouse data, and transactional data. Data cleaning techniques attempt to fill in missing values, smooth out noise, and correct inconsistencies. Methods for filling missing values include using the mean, median, most probable value, or manually filling them in. Smoothing noisy data involves techniques like binning, regression, and outlier analysis. Data mining tasks are sp

Author

Pooja Reddy

Language

EN