Abstract: The present disclosure comprises systems and methods to mine association rules from a dataset provided in the input. This comprises methodologies for optimizing the dataset for efficient computation of association rules, other than methodologies for handling partially true data. Moreover, it includes methodologies for evaluating the mining process automatically and removing uninteresting rules. In addition, it includes methodologies for integrating experts in the evaluation of the rules. Finally, methodologies to automatically detect outliers, correct outliers, update truth values and complete missing data in the original dataset. The overall methodology is completely automated and provides numerous tuning parameters to fit most of the use cases, including a default value for each of the tuning parameters to simplify its usage.