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The document discusses various data discretization techniques including binning, histogram analysis, cluster analysis, decision tree-based discretization, and correlation-based discretization, each with its own advantages and disadvantages. It also explains data transformation methods such as smoothing, attribute construction, aggregation, normalization, and generalization, along with measures of dispersion like range, quartiles, variance, standard deviation, and coefficient of variation. Additionally, it p

Author

Snehal Jadhav

Language

EN