How can we use this technique to advantage in a data mining situation where we have nominal (enumerative) variables and we want to add some kind of information content to each level of the variable? For example, entropy encoding would assign higher weight to those class values that were infrequent and less weight to those class values that were more common. What other encoding schemes are available to convert a nominal-scaled variable into an interval-scaled variable without generating multiple variables a la GLM encoding?