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This document provides information and examples related to statistical data mining concepts. It discusses structured, semi-structured, and unstructured data; data quality indicators; the importance of data preprocessing; common preprocessing steps like cleaning, integration, transformation, and reduction; methods for handling missing data; identifying misclassifications; when data transformations are needed; different normalization techniques; the difference between normalization and smoothing; outlier dete

Author

dilhani

Language

EN