IH sought to infer rules from sets of data. It did this first by classifying various input variables into one of a number of bins, thereby putting some structure on the continuous variables in the input.
IH aimed to extract rules from data sets by categorizing various input variables into predefined groups, which provided structure and organization to the continuous variables within the dataset.