Question

Discretization and binarization in data mining

Answer 1

it is often necessary to transform a continuous attribute into a categorical attribute (discretization), and both continuous and discrete attributes may need to be transformed into one or more binary attributes (binarization).

Answer 2

Discretization in data mining is the process that is frequently used and it is used to transform the attributes that are in continuous format.

On the other hand, binarization is used to transform both the discrete attributes and the continuous attributes into binary attributes in data mining.

These are the main differences that make both Discretization and binarization distinguished in data mining.