ChiMerge: discretization of numeric attributes
Randy Kerber · National Conference on Artificial Intelligence · 1992
Many classification algorithms require that the training data contain only discrete attributes. To use such an algorithm when there are numeric attributes, all numeric values must first be converted into discrete values--a process called discretization. This paper describes ChiMerge, a general, robust algorithm that uses the χ2 statistic to discretize (quantize) numeric attributes.