Guillaume Bosc, Jean-François Boulicaut, Chedy Raïssi, Mehdi Kaytoue
TL;DR通过 Monte Carlo 树搜索算法解决模式挖掘的多样性问题，该算法具有高效性和通用性。
Abstract
The discovery of patterns that accurately discriminate one class label from
another remains a challenging data mining task. subgroup discovery (SD) is one
of the frameworks that enables to elicit such interesting hypotheses from
labeled data. A question remains fairly open: How to sele