Apriori: basic algorithm for mining qualitative association rules

Mining qualitative association rules with no numerical attribute is NOT QuantMiner specialty.
However, since the algorithms implemented in QuantMiner do use a preliminary pruning of qualitative attributes using the state-of-the-art APRIORI algorithm, it becomes an implemented algorithm in QuantMiner that could be used if the user has no numerical attributes.

Apriori works according to the method described in the section about association rules.
Its parameters are minimum support and minimum confidence thresholds that the rules must exceed to be considered strong rules and thus kept.

Be aware not to use very low thresholds that risk to make the task intractable for QuantMiner and may produce a very large number of rules.
High thresholds are not good either since this may cut interesting rules.