Discretization is a process in which continuous data or variables are converted into a finite set of values or intervals. This is often done to simplify or analyze complex data sets, making it easier to handle and process. Discretization can be applied in various fields, such as data mining, machine learning, and computer simulations, to convert continuous variables into discrete ones for analysis and modeling purposes. It helps in reducing the complexity of the data without losing important information or trends. Overall, discretization is a valuable technique for transforming data into a more manageable form for analysis and interpretation.