Supervised classification based on Contrast Patterns (CP) is a trending topic in the pattern recognition literature, partly because it contains an important family of both understandable and accurate classifiers. In this paper, we survey 105 articles and provide an in-depth review of CP-based supervised classification and its applications. Based on our review, we present a taxonomy of the existing application domains of CP-based supervised classification, and a scientometric study. We also discuss potential future research opportunities.

中文翻译：

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基于对比模式的监督分类回顾：应用、趋势和挑战

基于对比度模式 (CP) 的监督分类是模式识别文献中的一个热门话题，部分原因是它包含一个重要的可理解和准确分类器家族。在本文中，我们调查了 105 篇文章，并对基于 CP 的监督分类及其应用进行了深入回顾。根据我们的回顾，我们提出了基于 CP 的监督分类的现有应用领域的分类，以及科学计量研究。我们还讨论了潜在的未来研究机会。