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 establish rules based on sets of data by initially classifying different input variables into predefined categories. This process provided structure and organization to the continuous variables within the dataset.