Question

This data transformation technique works well when minimum and maximum values for a real-valued attribute are known

a) min-max normalization
b) decimal scaling
c) z-score normalization
d) logarithmic normalization

Answer 1

Min-max normalization is the correct data transformation technique when the min and max values for an attribute are known, rescaling values to a range of 0 to 1.

Step-by-step explanation:

The data transformation technique that works well when minimum and maximum values for a real-valued attribute are known is a) min-max normalization. This method rescales the attribute to a specific range, typically 0 to 1, using the formula:

(value - min) / (max - min)

By applying this technique, all the original data values are proportionally scaled down to a standardized range without distorting differences in the ranges of values.