研究人员开发了一种名为CFips的新采样方法，用于探索大型模式空间，特别是关注具有用户定义约束的区间模式。该方法将约束直接集成到采样过程中，将它们分解为区间边界上的基本谓词，以确保精确的采样保证。实验结果表明，CFips可以成功完成可能因时间限制而失败的挖掘任务。 AI
影响 引入了一种新颖的约束采样技术用于模式挖掘，有望提高AI驱动的数据分析任务的效率。
排序理由 该集群包含一篇详细介绍新模式采样方法的论文。
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
arXiv:2606.09666v1 Announce Type: new Abstract: Output space pattern sampling is a powerful alternative to exhaustive pattern mining for exploring large pattern spaces, as it enables users to focus on representative patterns drawn according to a chosen interestingness measure. In…
Output space pattern sampling is a powerful alternative to exhaustive pattern mining for exploring large pattern spaces, as it enables users to focus on representative patterns drawn according to a chosen interestingness measure. In this paper, we address the problem of sampling …