We present NICGAR, a Niching Genetic Algorithm to mine a set of different positive and negative quantitative association rules.
This proposal includes two threshold values that allow the user to adjust the diversity and quality of the obtained rules.
We propose distOC, a new distance measure between rules based on the examples covered and the common attributes of the rules.