Finding the best diversity generation procedures for mining contrast patterns

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Black-Box vs. White-Box: Understanding Their Advantages and Weaknesses From a Practical Point of View (2019, background): “Some authors [107], [137] have shown that those algorithms based on decision trees have advantages regarding those approaches not based on trees for extracting contrast patterns.”
Contrast Pattern-Based Classification for Bot Detection on Twitter (2019, methodology): “Second, with decision trees, there is a significant reduction of the search space of potential patterns [48].”
Detecting Pneumatic Failures on Temporary Immersion Bioreactors (2016, methodology): “The iCAEP classifier takes advantage of the patterns extracted through a contrast pattern miner; therefore, we used the bagging miner algorithm [15] to extract the contrast patterns to be used by the iCAEP classifier.”