Discretization for Data Mining

Abstract

Discretization is a process that transforms quantitative data into qualitative data. Quantitative data are commonly involved in data mining applications. However, many learning algorithms are designed primarily to handle qualitative data. Even for algorithms that can directly deal with quantitative data, learning is often less efficient and less effective. Hence research on discretization has long been active in data mining.